Search Results for: technology for good

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Fairfax Water’s Tammy Powlas on producing good quality water cheaply

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We talk to utilities a lot here on GreenMonk, but mostly electrical utilities. Recently I had an opportunity to talk to Tammy Powlas of water utility Fairfax Water to learn more about what they do.

It was a fascinating chat we had. Fairfax water makes extensive use of technology and also embue a culture in their employees of putting the customers’ needs first, and as a result, they produce safe, consistent, and cheap water for their constituency. This is vital work considering how important water is to our everyday lives.

Here is a transcript of our conversation:

Tom Raftery: Hey everyone! Welcome to GreenMonk TV. I am talking today to Tammy Powlas who is a senior business analyst with Fairfax Water. Tammy, water utilities, it’s an interesting field and one that we don’t talk about enough often. I think people take water for granted often, but it’s one of our more valuable resources. Can you give us a bit of background first on Fairfax Water? What kind of size are you, who do you deliver water to, and what kind of challenges you’re facing, that kind of thing.

Tammy Powlas: Okay, yes, Fairfax Water, we are the largest water utility in the State of Virginia. Currently, we serve 1.7 million people water, and one out of every five Virginians gets their water from us. We serve the Fairfax County and surrounding counties. One of our challenges or immediate challenges is we’re acquiring two new water utilities in our area. The other thing about Fairfax Water, we pride ourselves on being one of the lowest cost water utilities in the Washington, D.C., Virginia, Maryland area.

Tom Raftery: Great! So you give cheap water to people. Does that necessarily mean that’s good water?

Tammy Powlas: Oh, absolutely! We have a lab group who does testing. We have two sources of water. They are very active in testing that. Our customers can request at anytime, what’s the quality of the water. So we pride ourselves on giving the best lowest cost water in the D.C. area, and it’s always available.

Tom Raftery: And to coin the phrase, do you eat your own dog food, are you a —

Tammy Powlas: Yeah, I am a Fairfax Water customer. I live in Fairfax County. I have been a Fairfax Water customer since 1999. I’ve had good service from Fairfax Water as a customer. I do eat my own dog food, yeah.

Tom Raftery: So how do you manage to keep the prices down?

Tammy Powlas: Well, for us, I think it comes from the general manager on down. We are public sector water utility, I forgot to mention that. So revenue, we’re not tied to revenue, but we pride ourselves on always doing what’s the least cost or what’s the most cost efficient thing for our customers. So everything always has to have a business case. We do a cost benefit analysis, and it’s always questioned from the general manager, the finance manager, is this going to fit our customers, is this the best solution for our customers. So we pride ourselves on always thinking in those terms and the whole company does.

Tom Raftery: Okay. Is technology helping out at all?

Tammy Powlas: Oh, absolutely! We’ve been using the SAP utilities solution since 2004, and that has really helped us integrate all our solutions together from billing, from maintenance, and very importantly, financials. So that helps us manage the cost, manage our maintenance, manage our bills, everything is all together. We have integrated financial statements in SAP that even using a business object software, it’s all come together and really helped us be more efficient for our customer.

Tom Raftery: Okay. I mean water utilities, and utilities in general, have large issues around infrastructure management. How do you handle that?

Tammy Powlas: That’s handled also in SAP using the Plant Maintenance Solution. We’ve been lucky, because our infrastructure is relatively new compared to our surrounding utilities, surrounding jurisdictions like Washington, D.C. which to me has a lot of issues with the aging infrastructure. So for us, we’re very active in predicting what’s going to go wrong, planning our maintenance, so that’s part of our whole company.

Tom Raftery: Sure! I mean what are plans moving forward for tech roll outs and the interesting projects on the horizon, to help you better serve your customers?

Tammy Powlas: Oh, absolutely! For sure after data migrations, I would see it’s giving more visibility into how our customers are using the water, how am I consuming the water, how do I compare to my neighbors. So we’ve been relatively lucky. We haven’t had to tell our customers to boil the water, we haven’t had water shutoff, we don’t regulate the water and say you can only water on every other day. So we’ve been fairly lucky with that. But, I think given that people want to be more sustainable, I think they are going to want to see how am I managing my water and how am I consuming and how do I compare to my neighbors.

Tom Raftery: And smart meters?

Tammy Powlas: Smart meters, we have not looked at that yet. I think that is coming. What’s interesting is some of these jurisdictions that we’re getting, they have automated meter readings, and I think that will come. I think that’s got to be on the horizon. I am giving you my personal opinion, I don’t speak to Fairfax Water but I think that’s going to happen for sure, because I think the customer demand hasn’t happened yet, but I think that’s going to happen over time.

Tom Raftery: As people see the advantages of the smart meters for electricity.

Tammy Powlas: Yeah, absolutely! I can see that today with my own electric bill. I can log on and do all that and there’s a lot of benefits to that and there is a lot of incentives for the utility company as well.

Tom Raftery: Okay, cool! Tammy, that’s been great. Thanks once again for talking to us today.

Tammy Powlas: Absolutely! Thank you, thank you Tom!

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Dell launches its 2020 Legacy of Good Plan

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Dell water bottle

Yesterday (Oct 15th 2013) Dell published their 2020 Legacy of Good Plan. In this plan they commit to

leaving a positive, measurable, and lasting contribution to out planet and our society.

Lofty goals indeed, but what about some of the more concrete specifics? Well Dell has published 21 concrete goals with an end-date of 2020 by which they have to achieve them.

The goals cover three distinct categories, Environment, People and Communities.

The Environmental goals include:

  • Reduce greenhouse gas emissions from our facilities and logistics operations by 50%
  • Reduce the energy intensity of our product portfolio by 80% and
  • Ensure 100 percent of Dell packaging is either recyclable or compostable

The People goals include:

  • Increase university hiring to a rate of 25 percent of all external hiring
  • Engage 40 percent of our global Dell team in employee resource groups by 2020 and
  • Achieve 75 percent favorable responses (or higher) in team member satisfaction globally as measured through the annual employee satisfaction survey

While the two Community goals are:

  • Engage 75 percent of team members in community service by 2020 and provide 5 million cumulative hours of service to the communities in which we live and work and
  • Apply our expertise and technology in underserved communities to help 3 million youth directly and support 10 million people indirectly to grow and thrive

The goals are all extremely laudable and measurable, and Dell has committed to transparency in the process. It will be interesting to watch Dell’s progress with the plan, especially as we come closer to the end-date 2020.

Dell claims to have worked closely with its customers in formulating this plan, but according to this Twitter conversation, not all Dell’s customers are on-board, as yet

An obvious goal missing from the People section would be to increase the number of female executives in the organisation, though Dell is already one of the top US companies for executive women. No harm to have written goals for this too though.

Finally while discussing this initiative with David Lear, Dell’s Executive Director of sustainability programs, I asked him what was going to happen to this program given Dell’s move from being a publicly traded to a privately owned company. He responded that because the plan was generated in consultation with Dell’s customer base, those customer’s were unlikely to change significantly after the privatisation, and Dell’s commitment to them wouldn’t change either.

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Smart Grid Technology conference

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Trust

Photo credit TerryJohnston

I attended the Smart Grid Technology conference in London last week and there were a number of interesting themes which became apparent.

The main theme to emerge was the question of how utilities could engage the residential customer. This is good news – the first step on the road to recovery is acknowledging that you have a problem!

The other two discussion points which came to the fore were 1) that energy is too cheap for small price shifts to incentivise behavioural change and 2) what to do with all the data arising from smart meter roll-outs (the prevailing opinion was that data from smart meters should be used for billing purposes only because that there was far too much data to be of any practical use!). I’ll talk about these in other posts.

The question of how to engage customers is a new one for utilities. Remember, this is an industry that refers to its customers as ‘load points’ or ‘rate payers’! Traditionally, the only time utilities interact with customers is to send a bill, to disconnect, or when the customer calls to enquire why their power is out. Not the most positive of communications, I’m sure you’ll agree! Consequently consumer attitudes to utilities vary from outright distrust to, at the very best, indifference.

How to change this?

Well, any councillor will tell you the best way to fix a relationship is through increased communication. Utilities need to really step up their game when it comes to communicating with their customers. This needs to be done using a combination of updating traditional communications, targeted, viral social media campaigns and good old-fashioned outreach. And this needs to be an ongoing, sustained two-way communication, not once-off and not not one-way.

It is only by building an ongoing conversation with their clients that utilities can build the necessary trust to engage customers in smart grids.

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Its good to see Microsoft pick up the energy efficiency baton

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Much as I am skeptical of bold-faced claims like “Vista is green” it does appear that Steve Ballmer is talking some sense on the subject. In Computerworld coverage of CeBIT this week it was notable that rather than talking about product Ballmer talked about best practices.

“Microsoft is to release a set of best practices for administrators running datacentres that share the energy-saving strategies the vendor is applying to its own operations, promised CEO Steve Ballmer.”

A few months ago I criticised the software giant for not responding to eco-responsibility, let alone driving it, but that all seems to be changing now. A big step forward came when Microsoft assigned responsibility for sustainability planning to one guy, Rob Bernard (who I blogged about here) . Now as the Windows Server 2008 rollout really starts to drum, Microsoft is refactoring its green assets and positioning them accordingly.

Sometimes its the basics- on the PCside for example better power management does make a difference. Discouraging users from setting up screensavers, for example, could lead to surprisingly large power savings. I think that Microsoft virtualisation is going to be a huge win here.

According to Ballmer:

“If you look at non-travel power consumption in the world today… information technology is one of the most rapidly growing power consumers on the planet,” Ballmer said. “We think we have a real responsibility… to reduce power consumption by the IT industry.

Frankly its great that CeBIT chose Green as the theme of the year – it meant all of the major IT vendors had yet another reason to think about their strategies in this area.

Asus even pitched a laptop with a bamboo case. Thanks to Treehugger for this image:

As I have said before marketing green is not a sin. Outcomes are more important than justifications. When you consider how sales of organic foods have sky-rocketed its clear consumer behaviours can change, so why not in the IT arena. Some say its all hype, well that’s fine. But use of sustainable materials, and improved energy efficiency have to be good things, whatever planet you’re on.

People love to throw stones at Microsoft, but just as the company is currently demonstrating, with a flurry of substantive announcements of better interoperability with open source from a business and technical perspective, that it can change, so its green efforts should pay dividends.

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The future of electric utilities – change and disruption ahead

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The utilities industry has typically been change averse, and often for good reasons, but with the technological advances of the past few years, the low carbon imperative, and pressure from customers, utilities are going to have to figure out how to disrupt their business, or they will themselves be disrupted.

I gave the opening keynote at this year’s SAP for Utilities event in Huntington Beach on the topic of the Convergence of IoT and Energy (see the video above). Interestingly, with no coordination beforehand, all the main speakers referred to the turmoil coming to the utilities sector, and each independently referenced Tesla and Uber as examples of tumultuous changes happening in other industries.

What are the main challenges facing the utilities industry?

As noted here previously, due to the Swanson effect, the cost of solar is falling all the time, with no end in sight. The result of this will be more and more distributed generation being added to the grid, which utilities will have to manage, and added to that, the utilities will have reduced income from electricity sales, as more and more people generate their own.

On top of that, with the recent launch of their PowerWall product, Tesla ensured that in-home energy storage is set to become a thing.

Battery technology is advancing at a dizzying pace, and as a consequence:

1) the cost of lithium ion batteries is dropping constantly Battery Cost

and

2) the energy density of the batteries is increasing all the time Li-Ion battery energy Density

(Charts courtesy of Prof Maarten Steinbuch, Director Graduate Program Automotive Systems, Eindhoven University of Technology)

With battery prices falling, solar prices falling, and battery energy density increasing, there is a very real likelihood that many people will opt to go “off-grid” or drastically reduce their electricity needs.

How will utility companies deal with this?

There are many possibilities, but, as we have noted here previously, an increased focus on by utilities on energy services seems like an obvious one. This is especially true now, given the vast quantities of data that smart meters are providing utility companies, and the fact that the Internet of Things (IoT) is ensuring that a growing number of our devices are smart and connected.

Further, with the cost of (solar) generation falling, I can foresee a time when utility companies move to the landline model. You pay a set amount per month for the connection, and your electricity is free after that. Given that, it is all the more imperative that utility companies figure out how to disrupt their own business, if only to find alternative revenue streams to ensure their survival.

So, who’s going to be the Uber of electricity?

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Big Data and analysis tools are facilitating huge advances in healthcare

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SAP's Genomic Analyzer

As we noted recently here on GreenMonk, technology is revolutionising the healthcare industry, and the pace of change is astounding with new products and services being announced daily.

We were recently given a demonstration of two products currently being developed by SAP (Genomic Analyzer, and Medical Research Insights), and they are very impressive products.

The Genomic Analyzer (pictured above) can take large numbers of genomes and interrogate them for various traits. This may sound trivial, but this is a serious Big Data problem. In a talk at SAP’s Sapphirenow conference in June, Stanford’s Carlos Bustamante outlined the scale of the issue when he noted that in sample size of 2534 genomes takes up 1.2tb of RAM and consists of over 20bn records.

The industry standard for storing genomic data is in a variant call format (VCF) text file. This is then interrogated using either open source or some specialised commercial software analyse the genomic data. Researchers frequently have to write their own scripts to parse the data, and the parsing takes a considerable amount of time.

SAP's Genomic Analyzer results

On the other hand, SAP’s Genomic Analyzer, because it is based on SAP’s in-memory database technology, can take record sets of 2,500 genomes in its stride returning multi-variant results in seconds. This will allow previously impossible tests to be run on genomic datasets, which opens up the potential for disease biomarker identification, population genetics studies, and personalised medicine.

SAP are actively looking for research partners to work with them on the development of the Genomic Analyzer. Partners would typically be research institutions, and they would receive login access to the analyzer (it is cloud delivered), and the ability to create and run as many query sets as they wish.

SAP’s Medical Research Insights application again takes advantage of SAP’s Hana in-memory database to take in the vast swathes of medical data which would typically be housed in siloed data warehouses (EMR’s, scans, pathology reports, chemo info, radio info, biobank system, and so on). It can be used to quickly identify patients suitable for drug trials, for example or to surface new research when relevant to patients.

The Medical Research Insights solution is currently being developed as part of a co-innovation project with a large cancer institute in Germany, but will ultimately be applicable to any hospital or medical institution with large disparate data banks it needs to consolidate and query.

SAP are far from alone in this field. As well as developing innovative medical applications themselves, many in their Startup Focus program are also furiously innovating in this field, as previously noted.

Outside of the SAP ecosystem, IBM’s Watson cognitive computing engine is also tackling important healthcare issues. And like SAP, IBM have turned Watson onto a platform, opening it up to external developers, crowdsourcing the innovation, to see what they will develop.

The main difference between IBM’s cognitive computing approach, and SAP’s Hana in-memory database is that Watson analyses and interprets the results on behalf of the researchers, whereas Hana delivers just the data, leaving the evaluation in the hands of the doctors.

And news out today shows that Google is launching its Google X project, Baseline Study so as not to be left out of the running in this space.

There’s still a lot of work to be done, but the advances these technologies are starting to unlock with change the healthcare industry irreversibly for the good.

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People as Sensors – mining social media for meaningful information

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I gave a talk at our recent ThingMonk, Internet of Things conference in London which I titled People as Sensors – mining Social Media for Good. The talk was principally about the many use cases where the firehose that is social media can now be analysed in realtime, and real, meaningful information can be extracted from it.

Feedback on the talk was extremely positive, so I said I’d post the video here.

Here’s the transcript of my talk:

Thanks very much! People As Sensors, it’s the idea of mining social media for useful information.

Obviously we have heard about the difference between data and information this morning, so we are just going to power through a little bit about that.

This slide deck is already up on SlideShare, so anyone wants to have a look at it, it’s there. I have my notes published, my notes for the slides published with the slides on SlideShare, so if you want to download it, you will get the notes there as well.

So mobile data; every one of us has got one of these little devices, and it’s publishing, not just the information that we publish ourselves, but also a lot of other information as well.

And this was brought home to us in 2009 very clearly when a german politician called Malte Spitz sued Deutsche Telecom because of the data retention laws in Germany that had just been legislated and he asked them for his data, he wanted the six months of data that they had on retention for him.

Can I get a show of hands here for anyone who has not heard the story already? Okay, a good few people haven’t.

So I will just break out of the presentation for a second, because — if I can; apparently it doesn’t want to. Okay, I will just — no, it doesn’t want to. What he did was he published the information in ZEIT ONLINE, and the link is at the bottom there, and all these screens that I have, all these slides that I have, they have a link at the bottom, it’s a clickable link; it’s a clickable link in the PDF on the SlideShare as well, so you can go and you can view this data.

There is a Play bottom in the bottom left there. You can hit Play on that button on the site and you can go through the six months of his life and it plays where he goes.

So when he gets on the train, the little dot there moves along the map, so you can see where he was for almost all the time of that six months. It lights up a little mobile phone icon when he is on the phone, when he is making a phone call or sending texts.

You can see where he sleeps, you can see when he sleeps, you can see when he gets up, it’s all there, and it’s all beautifully visualized. And when you see something as stark as that you suddenly realize, Jesus, we are really publishing a lot of information, aren’t we?

And it’s not just that kind of information; we are publishing a load of stuff in social medial as well. So you just take a quick look at some of the numbers in social media and you realize how big it is. Facebook have announced now that they have got 1.2 billion users and the latest numbers that they published in August, they talk about 4.5 billion likes per month, 4.75 billion items published — oh no, that’s per day. 4.5 billion likes per day, 4.75 billion items published per day, and I have forgotten how many billion photographs. It’s just insane.

Twitter, this is a typical diurnal graph of Twitter tweets per second. So you are starting at kind of midnight on the left, you are going across through the morning. It peaks at around — okay, over there it peaks at around 8,000, a little over 8,000, dips again mid-afternoon, picks up, and then drops off at nighttime. That’s daily.

The average number of tweets they say it’s around 6,000 tweets per second, and this is tweets per day over a 365 day period. You can see 400,000 going up to around 600,000 tweets per day now.

And Twitter are actually selling this data. They announced in their filing for the IPO that they have made about 47.5 million, which is quite modest I would have thought, selling direct access to their data. So people who buy their data from them house their servers in the same complex as the Twitter servers and get direct access to all the tweets that have been published instantaneously so they can mine it there and then.

So it’s not just Twitter, it’s not just Facebook, you have got Google+ talking about 500 million users, 300 million in the stream.

Sina Weibo; we are talking about 500 million users and growing. And you have got other networks as well; Waze, which was recently bought by Google, is a GPS application, which is great, but it’s a community one as well. So you go in and you join it and you publish where you are, you plot routes.

If there are accidents on route, or if there is police checkpoints on route, or speed cameras, or hazards, you can click to publish those as well. It’s a very simple interface, so that it doesn’t interfere with your driving, or it’s minimal interference with your driving. And I will come back to why that’s interesting in a few minutes.

And I am rushing through this because I have got 50 something slides and James wants me to do it in 15 minutes. So here are some of the use cases from all that data, and there are some nice ones out there. A lot of you are probably familiar with this one; it’s the UK snow meteorology example. It was one that was put up a couple of years back and it has been used every year every time there is snow in the UK.

There is a little dash of snow over London there in this screenshot, because there wasn’t one when I went to the site, so I tweeted about it, and got a bit of snow to fall on EC 2 there.

Utility companies are starting to use social media increasingly for outage management. So GE have got this Grid Insight Application, and what they do is if a utility company has an outage in their area, they can look for mentions of the outage on social media channels. And in this picture here you see someone has tweeted a photograph of a tree, which is after taking down an electricity line, so not they have a good idea of what the issue is.

This is in real time. So instead of having to send out an investigatory truck roll, they just send out the vegetation truck roll, and that cuts down massively on the time to get the outage fixed and get people back live again.

And this is another one, you can see here there is a fire in the substation, and it’s right beside a road, and you can see a cluster of Twitter — maybe not, you would have to look closely, but those are the blue dots there, those are little clusters of tweets and Facebook posts, and you have got a Facebook video posted of the fire in the substation.

Other things; the United Nations Development Project are analyzing in real time social media. This is the project they ran to analyze social media, because they want to know when there are likely risks to their people on the ground.

This is one they did in Georgia around the time of the upset between Georgia and South Ossetia in 2008-2009. So they looked at the mentions there and they graphed it versus when the trouble actually happened. So now they are building a model so they can call their people and say, okay, look, it has gotten to the point where it’s getting risky for you guys to be in there, we need to get you out now.

Automotive; the automotive industry are starting to use this. There was an application developed by the Pamplin College in University of Virginia Tech where they started mining social media for mentions of particular, what they call, smoke terms. These were terms which are important for the automobile industry and so they can identify quickly when faults come in cars.

This is a much faster way of reporting faults back to the manufacturer rather than going back up to the dealer network, which can take weeks and months. If they are getting it directly from the consumers, they get it faster, they do the recall faster, and you have got safety issues there, you are saving people’s lives. Plus, you are also having to recall fewer cars because few of them have been sold by the time the issue comes to life.

In the finance industry; this is a paper that was published. It was published in, I think it was 2009, and it said that Twitter can predict the stock market with 87% accuracy, and again, the link is at the bottom, you can click through and read the paper.

So on the back of that this UK crowd called Derwent Capital Management licensed the technology and set up a fund, and it has now become Cayman Atlantic, and they are doing quite well apparently. And there are several other companies who are doing similar now as well, using Twitter to predict the stock market.

In law enforcement social media is huge, it’s absolutely huge. A lot of the police forces now are actively mining Facebook and Twitter for different things. Like some of them are doing it for gang structures, using people’s social graph to determine gang structures. They also do it for alibis. All my tweets are geo-stamped, or almost all, I turned it off this morning because I was running out of battery, but almost all my tweets are geo-stamped. So that’s a nice alibi for me if I am not doing anything wrong.

But similarly, it’s a way for authorities to know where you were if there is an issue that you might be involved in, or not. So that’s one.

They also use it for interacting with people. They set up fake profiles and interact with suspects as well and try and get them to admit and all that kind of stuff.

I have a few extra slides hidden here, because James asked me to crunch this down. If you do download it, you will get all the sides there, and they are some very interesting ones. If you have an interest in the law enforcement angle, there are some great case studies that you can look into there.

Obviously the law enforcement one is one you have got to be very careful of, because you have issues there around the whole Minority Report and Precrime, and it’s more of a dodgy one than many of the other ones I have been talking about.

Smart cities; we heard people talking about smart cities this morning. This is the City of Boston and they have got their citizens connect to application, and that allows people with a smartphone, and it’s agnostic; it can be Android, iOS, I am not sure if they do BlackBerry, but Android and iOS are covered anyway. You can report potholes, street lights, graffiti, sidewalk patches, whatever those are, and damage signs and others.

You get reports back when you report something to the City of Boston, and a couple of other cities are rolling these out as well, but in this particular one, when you report an issue to the City of Boston, you get a communication back from the city telling you who is assigned to fix that particular item you have reported. And then that person contacts you to say when they have done it, and often they will photograph it and you get a photograph of the item you have reported having been fixed by the named person who has done it. So very smart.

Healthcare; healthcare is a big one as well. You are probably familiar with Google Trends and Google Flu Trends, so Google Flu Trends, they take the search data to predict when there are likely flu outbreaks.

Well, they went a step further and they funded this paper, which was published in the American Journal of Tropical Medicine and Hygiene, and what they did was they looked at the data, the social media data for mentions of cholera and cholera symptoms in Haiti in 2010 after the earthquake there. And they found that the mentions of cholera and cholera symptoms on social media tracked exactly with the governmental data, so it was an exact match. The only difference being it was two weeks ahead of the government data.

So you can imagine two weeks on a cholera outbreak, the number of lives you could save, so really important stuff.

There is also this fantastic application which was called Asthmapolis and is now called Propeller Health. And what that is, it’s a little device that sits on top of an inhaler, so when you give a puff on your inhaler, it reports it with GPS and timestamp.

So when you go to your doctor, your doctor then can see a map of where and when you puffed on your inhaler, and you get to see it as well. So you start to see patterns in when you used your inhaler.

So you might say every time I visit my friend’s house, I use the inhaler more. They are a smoker. Okay, so now I need to be aware.

Or every time I am on my way to work, when I pass this particular place I use the inhaler, maybe I should take a different route.

But it goes a step beyond that as well. They have gotten the City of Louisville, in Kentucky to roll this out to all their asthma people. And they have a particular issue with pollution in Louisville, because there is a 13 year lifespan difference in people’s expected lifespan depending on where they live in Louisville.

So you live in one place, you live 13 years less than your neighbors. So they are using this application to try and help them identify and to try and help them clean up the City of Louisville, so a really interesting application there.

In CRM, Customer Relationship Management, it was T-Mobile in the U.S. who went through the millions of customer records they had, they went through their billing records, they went through mentions in social media. They had, I think it was 33 million customers, and they were losing customers all over the place.

When they started analyzing the social media mentions, matched it up with the billing records, etcetera, and they started taking preventative action for people they identified as likely to defect, they halved their defections in three months.

So they cut down on their customer defections, in three months they cut them down by 50%. Amazing!

Brand management; a couple of years ago Nestlé got Greenpeace. They were sourcing palm oil for making their confectionary from unsustainable sources, from — Sinar Mas was the name of the company and they were deforesting Indonesia to make the palm oil.

So Greenpeace put up a very effective viral video campaign to highlight this, and this actually had an impact on Nestlé’s stock price, short-term, small impact, but it had an impact on their stock price, as well as the reputational issues.

Nestlé put in place a Digital Acceleration Team who monitor very closely now mentions of Nestlé online and as a result of that this year, for the first time ever, Nestlé are in the top ten companies in the world in the Reputation Institute’s Repute Track Metric. So they are now considered globally as one of the more reputable industries, at least partly as a result of this.

In transportation; I mentioned Waze earlier. So Google Maps have now started to incorporate data from Waze. So right here you can see a screenshot of someone’s Google Maps and it’s highlighting that there was an accident reported on this particular road via Waze, via the Waze App. So that’s really impressive, you are on your Google Maps and now you are notified ahead of time that there has been an accident up the road, you have a chance to reroute.

Also in transportation, this is a lovely little example; Orange in the Ivory Coast, they took, I think it was — I have it noted here somewhere, 5 million Orange users, 2.5 billion anonymized records from their data.

Anonymized released it and said, okay, let’s see what you can do with this anonymized data from our customers. There is a competition. The best use was where they remapped the country’s public transport because they could see looking at people’s mobile phone records where people were going during the day.

So they said, okay, people are going from here to here, but our bus route goes from here to here, to here, to here, let’s redraw the bus route this way where people actually want to go. Simple! Beautiful application of data, the data that we all published all the time, to make people’s lives easier. They reckon they saved the first 10% of people’s commute times.

Looking ahead, and I am wrapping up here James, wherever he is, you have got things like Google Glass, which will now be publishing people’s data as well.

You have got this thing called Instabeat, and what it is, it’s like Google Glass for swimmers. So it has got a little display inside people’s goggles as they are swimming, so they can see how fast their heart rate is; they can see several of the kind of things that you want when you are a competitive swimmer and you are trying to up your game.

And you have got all the usual stuff that we are all aware of, the Jawbones and all these other things that people are using to track their fitness.

More and more we are being quantified, we are generating more and more data, and it’s going to be really interesting to see the applications that come from this data.

So the conclusion from all of this very quickly, data and the data sources are increasing exponentially, let’s go hack that data for good.

Thank you!

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The Internet of Things is bringing Electricity 2.0 that much closer

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One of the reasons I started working with GreenMonk back in 2008 was that James heard my Electricity 2.0 vision, and totally bought into it.

The idea, if you’re not familiar with it, was that as smart grids are deployed, homes will become more connected, devices more intelligent, and home area networks would emerge. This would allow the smart devices in the home (think water heaters, clothes dryers, dish washers, fridges, electric car chargers, etc.) to listen to realtime electricity prices, understand them, and adjust their behaviour accordingly. Why would they want to do this? To match electricity demand to its supply, thereby minimising the cost to their owner, while facilitating the safe incorporation of more variable suppliers onto the grid (think renewables like solar and wind).

That was 2008/2009. Fast forward to the end of 2013 and we see that smart meters are being deployed in anger, devices are becoming more intelligent and home area networks are becoming a reality. The Internet of Things, is now a thing (witness the success of devices like Nest’s Thermostat and Protect, the Philips Hue, and Belkin’s WeMo devices). Also, companies like Gridpoint, Comverge and EnerNoc are making demand response (the automatic reduction of electricity use) more widespread.

We’re still nowhere near having realised the vision of utility companies broadcasting pricing in realtime, home appliances listening in and adjusting behaviour accordingly, but we are quite a bit further down that road.

One company who have a large part to play in filling in some of the gaps is GE. GE supplies much of the software and hardware used by utilities in their generation, transmission and distribution of electricity. This will need to be updated to allow the realtime transmission of electricity prices. But also, GE is a major manufacturer of white goods – the dish washers, fridges, clothes dryers, etc. which will need to be smart enough to listen out for pricing signals from utilities. These machines will need to be simple to operate but smart enough to adjust their operation without too much user intervention – like the Nest Thermostat. And sure enough, to that end, GE have created their Connected Appliances division, so they too are thinking along these lines.

More indications that we are headed the right direction are signalled by energy management company Schneider Electric‘s recently announced licensing agreement with ioBridge, and Internet of Things connectivity company.

Other big players such as Intel, IBM and Cisco have announced big plans in the Internet of Things space.

The example in the video above of me connecting my Christmas tree lights was a trivial one, obviously. But it was deliberately so. Back in 2008 when I was first mooting the Electricity 2.0 vision, connecting Christmas tree lights to the Internet and control them from a phone wouldn’t have been possible. Now it is a thing of nothing. With all the above companies working on the Internet of Things in earnest, we are rapidly approaching Electricity 2.0 finally.

Full disclosure – Belkin sent me a WeMo Switch + Motion to try out.

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SAP releases its Integrated Report 2012 – an integrated financial and sustainability report

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SAP released their first Sustainability report in 2008 (their 2007/2008 report). Like the reports of most other companies at the time, it was released as a PDF document but SAP quickly shifted gears. SAP’s 2008 Sustainability report, was released as a website. This had the dual purpose of making the site more accessible, and also allowing SAP to see which areas of the site had more traction. The following year they made their report more social and every year since they have added something new.

As well as releasing its Sustainability reports each year, SAP also published its annual financial reports. This year, for the first time, SAP have integrated the two reports and they have just published their SAP Integrated Report 2012. It takes the form of a highly interactive website with built-in analytics and downloadable PDF’s.

This was an idea GreenMonk first mooted when I asked SAP’s Chief Sustainability Officer Peter Graf in a 2011 interview whether SAP had any plans to integrate the two documents.

On a conference call at the launch of the integrated report, SAP Chief Accounting Officer Christoph Hütten went to great pains to stress that this wasn’t merely the content of both reports in one, but that the content was very tightly bound together. The report demonstrates how connections and inter-dependencies between financial and non-financial performance impact each other, he said.

The document/website contains all the financial and sustainability-related information you would expect to find in reports of this type. And the report also has a nice page showcasing and explaining the connections between the financial and non-financial performance.

Other nice features of the report are an integrated tweetstream showcasing mentions of the #sapintegrated hashtag on some pages, an option to make notes on pages (with the ability to download those pages as PDF’s subsequently), and the download centre for downloading the annotated pages, as well as financial statements, graphics and other reports.

For the first time also, SAP are releasing their 2012 sustainability information in XBRL format (.zip file) – something GreenMonk also suggested to SAP back in 2011. If you are unfamiliar with XBRL, it is an XML-based global standard for exchanging business information.

Impressive as well was the fact that at the end of the conference call launching the report, Peter Graf mentioned that SAP are actively looking to co-innovate. He asked that anyone, be they in the financial or sustainability reporting space, who is interested in integrated reporting get in touch with him to work together to bring integrated reporting to everyone “at the lowest possible cost and highest possible precision”.

The video above is a demo of the report and I have placed a transcript of the video here.

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How DowCorning complies with global packaging regulations and creates its packaging waste reports

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As part of a series of SAP sponsored sustainability customer reference interviews, I talked to Dirk Krúger of Dow Corning about how they manage to stay compliant with the many and constantly changing regulations around packaging, production of packaging waste reports and transportation of dangerous goods. This proved very challenging for them in the past but since the rollout of SAP Recycling Administration they have reduced the time to create their packaging waste reports by as much as two months per report.

Check out the interview above and the transcription below to learn more.

Tom Raftery: Hi everyone! Welcome to The GreenMonk TV Sustainability Customer Reference Series, sponsored by SAP. With me is Dirk Krüger from Dow Corning. Dirk, can you start off by telling me first of all a little bit about Dow Corning itself, and then your role within the organization?

Dirk Krüger: Yeah, Dow Corning is a global leader in silicon based technology and working as a global company, we serve, I think, more than 25000 customers worldwide with more than 7000 products. I am working a packaging engineer in the International Trade Compliance team, which is part of the logistics organization in Dow Corning, making sure that Dow Corning complies with all the regulations worldwide on packaging, transportation of dangerous goods, imports and export, documentation.

Tom Raftery: Okay. You mentioned legislation, that your job involves compliance with legislation?

Dirk Krüger: Yeah.

Tom Raftery: What kinds of legislation do you have to comply with?

Dirk Krüger: Yeah. First you have to select the right packaging that is compliant with requirements of the — the requirements for our regulated products. So for flammable liquid, we use stronger packaging, and for non-dangerous goods, this compliance for the regulations and packaging wastes, needs also to be disposed off.

Tom Raftery: What kind of challenges do you meet in your role in Dow Corning and how is SAP helping you overcome those?

Dirk Krüger: More and more of regulations around to products, product responsibility regulations increase globally, and so, therefore we use SAP recycling administration to be in compliance with the regulations by creating the packaging waste reports for the product we put on the marketing.

Tom Raftery: So, what’s a packaging waste report?

Dirk Krüger: In the packaging waste reports we have to summarize so much material of plastic glass, steel, you put on the markets to sell your products in Europe, so every company in Europe has its own reporting. Formula, you have to fill out. It took about between 2 weeks and 2 month to create such a report, depending on the country.

Tom Raftery: Okay.

Dirk Krüger: Okay. And now it’s running overnight and the report is complete.

Tom Raftery: And finally what are your plans for the SAP solution going forward?

Dirk Krüger: To expand the usage to really use it in every country we sell our products, because currently we are just reporting for the European countries, but in Asia for example, we have got more and more regulations in place, like, also for Taiwan. So we will expand the usage of recycling administration.

Tom Raftery: Dirk, that’s been great! Thanks million for talking to us today.