Master Data Management: sources and insights 23 Sep 2014Posted by Tony Law in Impact of IT, Insight services, IT is business, ITasITis, Managing IT.
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Tomorrow I will be facilitating my last Corporate IT Forum event. After five years or so I’m standing down from the team, having valued the Forum first as a member and then, since my first retirement, being on the team. Tomorrow’s event is a webinar, presenting a member’s case study on their journey with Master Data Management (MDM).
There was a phase of my career when I was directly concerned with setting up what we’d now call Master Data for a global oil company. We were concerned to define the entities of interest to the enterprise. When systems (databases and the associated applications) were set up to hold live data and answer day to day or strategic questions, we wanted to avoid the confusions that could so easily arise. everyone thinks they know what a particular entity is. It ain’t necessarily that simple.
A couple of examples.
When we began the journey, we thought we’d start with a simple entity: Country. There are fewer than a couple of hundred countries in the world. We needed to know which country owned, licenced and taxed exploration and production. And everyone knows what a country is, don’t they?
Well, no. Just from our own still-almost-united islands: a simple question. Is Scotland (topically) a country? Is the Isle of Man? Is Jersey? In all those cases, there are some areas (e.g. foreign policy) where the effective answer is no; they are part of the single entity the United Kingdom. But in others (e.g. tax, legal systems, legislature) they are quite separate. And of course the list of countries is not immutable.
So: no single definitive list of countries. No standard list of representative codes either: again, do we use GB? or UK? Do we use international vehicle country codes, or Internet domain codes, or … What codes would be used in data coming in from outside? And finally: could we find an agreed person or function within the Company who would take responsibility for managing and maintaining this dataset, and whose decisions would be accepted by everyone with an interest and their own opinions.
And talking of data coming in from outside: I carried out a reconciliation exercise between two external sources of data on exploration activities in the UK North Sea. You’d think that would be quite well defined: the geological provinces, the licence blocks, the estimates of reserves and so on. record keeping in the UK would surely be up to the game.
But no: the two sources didn’t even agree on the names and definitions of the reservoirs. Bringing the data from these sources together was going to be a non-trivial task requiring geological and commercial expertise.
Then again, we went through a merger and discovered that two companies could allocate responsibility for entities (and for the data which represented them) quite differently within their organisations.
So: this is a well developed topic in information systems. Go back to a Forrester blog in 2012: analyst Michelle Goetz maintains forcefully that MDM is not about providing (in some IT-magic way) a Single Source of Truth. There ain’t no such animal. MDM is a fundamental tool for reconciling different data sources, so that the business can answer useful questions without being confused by different people who think they are talking about the same thing but aren’t, really.
It may be a two year old post, but it’s still relevant, and Michele Goetz is still one of Forrester’s lead analysts in this area. Forrester’s first-ever Wave for MDM solutions came out in February this year. It’s downloadable from some of the leading vendors (such as SAP or Informatica). There’s also a recent Wave on Product Information Management which is tagged “MDM in business terms”, and might be worth a look too. Browse for some of the other stuff.
Gartner have a toolkit of resources. Their famed Magic Quadrant exists in multiple versions e.g. for Product information and for Customer Data. I’d be unsure how the principles of MDM vary between domains so (without studying the reports) I’m not clear why the separation. You might do better with the MDM overview, which also dates from 2012. You will find RFP templates, a risk framework, and market guides. Bill O’Kane and Marcus Collins are key names. For Gartner subscribers, a good browse and an analyst call will be worthwhile.
Browse more widely too. Just one caution: MDM these days also means Mobile Device Management. Don’t get confused!
• Master Data Management Does Not Equal The Single Source Of Truth, Michele Goetz, Forrester blog, 26 Oct 2012
• The Forrester Wave™: Master Data Management Solutions, Q1 2014, 3 Feb 2014 (download from Informatica, link at foot of page
• PIM: MDM on Business Terms, Michele Goetz, 6 Jun 2014
• Master Data Management, Marcus Collins, Gartner, 9 Jul 2012
Benefits realisation: analyst insight 15 Sep 2014Posted by Tony Law in Impact of IT, Insight services, IT is business, ITasITis, Managing IT, Tech Watch.
Tags: benefits, Gartner, Richard Hunter
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I’m facilitating an event tomorrow on “Optimising the benefits life cycle”. So as always I undertook my own prior research to see what the mainstream analysts have to offer.
Forrester was a disappointment. “Benefits Realization” (with a z) turns up quite a lot, but the research is primarily labelled “Lead to Revenue Management” – that is, it’s about sales. There is some material on the wider topic, but it dates back several years or longer. Though it’s always relevant to remember Forrester’s elevator project pitch from Chuck Gliedman: We are doing A to make B better, as measured by C, which is worth X dollars (pounds, euros …) to the organisation.
There is a lot of material from both academic researchers and organisations like PMI (Project Management Institute). But in the IT insight market, there seems to be remarkably little (do correct me …) except that the Corporate IT Forum, where I’ll be tomorrow, has returned to the issue regularly. Tomorrow’s event is the latest in the series. The Forum members clearly see this as important.
But so far as external material is concerned, this blog turns into a plug for a recent Gartner webinar by Richard Hunter, who (a fair number of years ago) added considerable value to an internal IT presentation I delivered on emerging technologies for our enterprise. I’m not going to review the whole presentation because it’s on open access from Gartner’s On Demand webinars. But to someone who experienced the measurement-oriented focus of a Six-Sigma driven IT team, it’s not a real surprise that Richard’s key theme is to identify and express the benefits before you start: in business terms, not technology-oriented language, and with an expectation that you will know how to measure and harvest the benefits. It’s not about on-time-on-budget; it’s about the business outcome. Shortening a process cycle from days to hours; reducing the provision for returns; and so on.
If this is your topic, spend an hour reviewing Richard’s presentation (complete with family dog in the background). It will be time well spent.
• Getting to Benefits Realization: What to Do and When to Do It, Richard Hunter, Gartner, 7 Aug 2014 (go to Gartner Webinars and search for Benefits Realization)
• Corporate IT Forum: Optimising the Benefits Lifecycle (workshop, 16 Sep 2014)
Analyst Directory update 9 Sep 2014Posted by Tony Law in Impact of IT, Insight services, ITasITis, Managing IT, Technorati.
Tags: Gartner Forrester Semple
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It’s a long time since the InformationSpan blog index has been updated – not since February. To be fair, I had a look in May but there were too few changes to be significant. However, there’s now enough to report, and the index has been thoroughly reviewed and updated.
First, Gartner: a handful of new analysts have appeared. The main comments, though, relate to past acquisitions.
I’ve finally removed almost all references to AMR, but in true Gartner fashion there are some inconsistencies. If you look on Gartner’s Research marketing page, there is of course Gartner for Supply Chain Professionals, created out of the former AMR service. All traces of AMR seem to have disappeared until you look also at the Gartner for Enterprise Supply Chain Leaders service. The flyer for this service is headed “AMR Enterprise Supply Chain Leaders” and is replete with references to AMR services. It’s dated 2010, just after the acquisition; but it’s still on the system. I did not find any other reference to a service called Gartner for Enterprise Supply Chain Leaders.
Burton service have also been fully absorbed; most of the Burton analysts have left, the IT1 tag also seems to have disappeared, and one of the remaining accessible legacy blogs has moved to inaccessible. However, six Burton blogs can still be found and I’ve discovered there are also TypePad profiles linked to them. There’s also still one accessible (but moribund) Gartner IT1 blog, and a fair sprinkling (as always) of blogs left over from other analysts who have left.
There have been more changes to the Forrester page. First, perhaps most significantly: Forrester seem to have shed their Business Technology tag. It was a good one, but didn’t catch on; and I suppose George Colony has decided to go with the market. These services are now referred to as Technology Management.
There have, too, been some changes within Forrester’s categories. Business Process and Content & Collaboration seem to have become moribund (no new content for over two years), and there remain a number of still-extant blog names which redirect somewhere else (and have done so for some time). Interestingly, within the Marketing & Product Strategy group, there’s a blog which had been dormant since 2008 but Consumer Product Strategy has acquired a new posting recently. Forrester seem better than Gartner at tidying up when analysts leave, but there are three or four still-extant blogs from departed analysts.
I reviewed the Others page too. I haven’t added any new analyst sources (suggestions??) but Erica and Sam Driver’s ThinkBalm content has now been lost. Charlene Li’s Altimeter group now has a fully integrated blog section within the main website (not new, but I haven’t noted it before) as well as personal blogs maintained by Charlene herself and some colleagues. I have, though, included Euan Semple’s The Obvious which offers so many of us great insights and ideas. If George Colony hadn’t already grabbed Counterintuitive as his blog title, it would be a good alternative for Euan!
No Links here, but click the link at the head or right hand side of this blog to go to the InformationSpan Analyst Blogs Index.
Formula 1 spreads innovation 8 Aug 2014Posted by Tony Law in Innovation, Innovation, ITasITis, Tech Watch, Technorati.
Tags: sensor technology
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Travelling home yesterday evening, I was unusually listening to the BBC’s Radio 4. Unusually because we usually drive to classical music, but the Prom wasn’t to my taste and we did need the radio on a BBC station to ensure we collected the traffic reports as we travelled.
So we heard a report on the In Business programme about McLaren’s Formula 1 racing team, and a new venture called Maclaren Applied Technologies (MAT) which is creating a spin-off business by applying the F1 team’s approaches to help other businesses innovate. It’s grown rapidly from a handful of individuals to around 250 people. It’s worth a look (or in this case a listen).
F1 lives by innovation. Racing cars develop significantly between races, to short timescales of one to two weeks. Not only that, but there is significant process expertise too. A pit stop will lift a car, change all four wheels on a car, put it back on the road and have it accelerate away in less time than it takes to read this: perhaps two seconds. All down to well practised team work: each person ready, in place with the right equipment, and knowing exactly what to do.
Now MAT is helping other businesses. They offer their experience in areas like advanced sensor technology, and large scale real time data handling. Not Big Data for the sake of Big Data, but identifying what’s needed to resolve a problem or monitor and improve a process: and then having the technology and the expertise to gather the data, and to analyse and report on the necessary timeline. Not forgetting the teamwork, process-based innovation which gets their cars through their pit stop.
Examples cited included other sports, of course: GB Cycling, and rugby, working on the performance of athletes and their equipment. It’s perhaps a natural development of that to equip individuals tackling their weight problems, so that they can be made aware of their “energy burn” during different physical activities from walking to house cleaning: this in partnership with a doctor’s practice (about 11 minutes into the broadcast).
And (at about 14 minutes) the conversation moves to my old company, GlaxoSmithKline (GSK). GSK have had an established partnership with McLaren for around three years now.
Clinical trials are a large scale and, of course, critical element of drug development. GSK is moving this data gathering from retrospective (trial participants’ records being mediated by a clinical partner and reported perhaps monthly) to real-time, using MAT sensor technology. Not only does this provide more complete and more robust data; it can of course speed the process of getting a valuable treatment to market. Crucially, too, it helps failures to be spotted sooner – hence reducing overall costs to the company, costs which can only be recouped through successful products.
And then, still in GSK but in consumer-health manufacturing, McLaren’s pit stop expertise (remember?) comes back. GSK makes several toothpaste brands. No, they’re not all the same inside the tube and the line has to be changed over for a different batch. For McLaren, the speed of the pit stop changeover wins races. Applying this to manufacturing changeover has, it seems, created operator pride in the speed with which it can be achieved – and saving time, quite simply, gets more toothpaste to market.
Of course, conventional management consultants might tackle some of the same problems. McLaren see their differentiator as this: theirs is engineering-led innovation rather than analysis-led innovation. They come at things from a doing angle, not a thinking-about angle.
The broadcast is available as a podcast or download, not the usual time-expiring iPlayer replay. It’s worth half an hour of your time.
Now, how about applying pit stop thinking to the process of software release and upgrade?
• Fast and Furious, BBC podcast from Peter Day’s World of Business, 7 Aug 2014 from BBC Podcasts and Downloads
• Maclaren Applied Technologies
• MAT In the News features some of the examples cited in the BBC programme, including obesity monitoring and toothpaste manufacturing
• GSK McLaren partnership, from GSK.com
Tags: SAP, Sapphire, Supernova
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R “Ray” Wang’s Constellation group is worth watching anyway. But just now there are a couple of good reasons.
First, if you’re a SAP user, they have coverage of the recent SAPphire conference. Remember that Ray’s primary expertise, from his days at Forrester, is in ERP. Just go to Constellation and search for “Sapphire 2014″ for pre- and post-event analysis. There are of course also replays and other notes on the SAP website, if you want to go back to the originals.
Secondly, they are launching the call for this year’s Supernova innovation awards. Again, worth watching if your focus includes the what, how and who of innovation in business. As I’ve commented before, I’m not clear on the relationship between this Supernova event and the one formerly hosted by Kevin Wehrbach of the Wharton Business School (University of Pennsylvania) but Wehrbach’s Supernova hasn’t happened since 2010 and was described by him in 2012 as “on hold”.
Note, by the way, that their URL has changed from constellationrg.com to just constellationr.com.
• Constellation: search for Sapphire 2014
• Call for Applications: SuperNova Awards for leaders in disruptive technology, Courtney Sato, Constellation, 17 Jun 2014
• SAPPHIRE NOW 2014 (SAP Events)
Tags: Big Data, Frost and Sullivan, Smart
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I’m on a Frost and Sullivan webinar: Growth, Innovation and Leadership (GIL: a major Frost theme). It’s a half-hour panel to discuss successful types of innovation and examples of future innovative technologies with Roberta Gamble, Partner, Energy & Environmental Markets, and Jeff Cotrupe, Director, Stratecast. David Frigstad, Frost’s Chairman, is leading. The event recording will be available in due course.
Frigstad asserts that most industries are undergoing a cycle of disrupt, collapse, transform (or die: Disrupt or Die is an old theme of mine). We start with a concept called the Serendipity Innovation Engine. It’s based on tracking nine technology clusters; major trends; industry sectors; and the “application labs” undertaking development (which includes real labs and also standards bodies and others). And all of this is in the context of seven global challenges: education, security, environment, economic development, healthcare, infrastructure, and human rights.
Handover to Gamble. This is a thread on industry convergence in energy and environment, seen as a single sector. Urbanisation, and the growth of upcoming economies, are major influences here in demand growth.
We do move to an IT element: innovation in smart homes and smart cities, with integration between sensor/actuator technology and social/cloud media: emphasising this, Google has just bought a smart home company (Nest Labs). City CIOs and City Managers are mentioned as key people – a very US-centric view when most urbanisation is not occurring in the developed world … we do return to implications for developing economies, where the message is that foundations for Smart (which includes effective, clean energy use) should be laid now while there is a relatively uncluttered base to start from.
Frigstad poses a question based on the idea that Big Data is one of the most disruptive trends in this market. Gamble suggests that parking is an example. Apps to find a parking spot, based on data from road sensors or connected parking meters, are not though only being piloted in San Francisco. Similar developments in the UK were mentioned at a Corporate IT Forum event I supported earlier this year.
It’s a segue into the next section: an introduction for Cotrupe, whose field is Big Data and Analytics. Examples of disruption around here include the Google car: who would have thought Google would be an automotive manufacturer? Is your competitor someone you wouldn’t expect? An old question, of course. The UK’s canal companies competed with each other and perhaps with the turnpike roads; they mainly didn’t foresee the railways.
Cotrupe’s main question is: What is Big Data really? He posits it as an element of data management, together with Analytics and BI. I’d want to think about that equation; it’s not intuitively the right way round. But high volume, rapidly moving data does have to be managed effectively for its benefit to be realised – delivering the data users need, when they need it, but not in to overwhelm them. And this means near real-time. It’s IT plus Data Science.
Frost suggest they are more conservative than some, because they see growth of the BD market held back by the sheer cost of large scale facilities.
We’re on the promised half hour for the primary conversations, but still going strong, basically talking with Cotrupe about various industry sectors where Big Data has potential: to support, for example, a move from branch based banking to personal service in an online environment. There’s some discussion of Big Data in government: how will this affect the style of government in perhaps the next 20 years? Cotrupe mentions a transformation in the speed of US immigration in recent years, where data is pre-fetched and the process takes minutes instead of hours. He’s advocating opening up, sharing of information: in other industries too, for example not being frozen by HIPAA requirements in (US) healthcare or, perhaps, EU data protection requirements. I have personal experience of obstructive customer service people trying to hide behind those, and in fact parading their lack of actual knowledge.
Cotrupe talks about privacy, not least in the wake of Snowden and what’s been learned about sharing between NSA and the UK agencies. Cotrupe would like to see theis ease of sharing brought to bear in other areas: but asks how we manage privacy here? There are companies which are leading the way in data collection in consumer-sensitive ways, and this needs to become standard practice. In any case, not collecting data you don’t need will reduce your data centre (should that be Data Center?) footprint.
As we come to a close, with a commercial for the September event in Silicon Valley, I have to say I’m not convinced this webinar was wholly coherent.
If you call something a Serendipity Innovation Engine I want to know how it relates to serendipity: that is, the chance identification of novel discoveries.
If you present a layered model, I expect the layers to relate (probably hierarchically) to one another. It would be more valuable to talk about the four elements of this model separately and be clearer about what each represents. For example, “Health and Wellness” occurs as a Technology Cluster (why?). It’s also a Mega Trend in a layer where Social Trends also sits; surely people’s concern about Health and Wellness is a social trend? Each layer seems to mix social, technical and other concerns.
I learned a more useful framework when teaching the OU’s Personal Development course. This really is layered. The two internal layers (this is for personal development) are one’s immediate environment, and other elements of your working organisation. Then Zone 3 (near external) encompasses competitors, customers/clients, suppliers and local influences. Zone 4 (far external) includes national and international influences: social, technological, economic, environmental and political (STEEP). On this framework you can chart all the changes discussed in today’s webinar and, I think, more easily draw conclusions!
• Frost & Sullivan Growth Innovation & Leadership
• Google buys Nest Labs for $3.2bn …, The Guardian, 13 Jan 2014
• STEEP framework: Sheila Tyler, The Manager’s Good Study Guide (third edition, 2007). The Open University. Pages 198-202