Cross-fit Data Program

Michele Goetz

I’ve been presenting research on big data and data governance for the past several months where I show a slide of a businesswoman doing a backbend to access data in her laptop. The point I make is that data management has to be hyper-flexible to meet a wider range of analytic and consumption demands than ever before. Translated, you need to cross-train for data management to have cross-fit data.

The challenge is that traditional data management takes a one-size fits-all approach. Data systems are purpose built. If organizations want to reuse a finance warehouse for marketing and sales purposes, it often isn’t a match and a new warehouse is built. If you want to get out of this cycle and go from data couch potato to data athlete, a cross-fit data training program should focus on:

Context first. Understanding how data is used and will provide value drives platform design. Context indicates more than where data is sourced from and where it will be delivered. Context answers: operations or analytics, structured or unstructured, persistent or disposable? These guide decisions around performance, scale, sourcing, cost, and governance.

Data governance zones. Command and control data governance creates a culture of “no” that stifles innovation and can cause the business to go around IT for data needs. The solution is to create policies and processes that give permission as well as mitigate risk. Loosen quality and security standards in projects and scenarios that are in contained environments. Tighten rules and create gates when called for by regulation, where there are ethical conflicts, or when data quality or access exposes the business to significant financial risk.

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CMIS 1.1 Approved — OASIS Standard For ECM Interoperability Evolves And Gains Traction

Cheryl McKinnon

Today OASIS announced official approval of version 1.1 of the CMIS (Content Management Interoperability Services) standard. OASIS is the nonprofit, international consortium behind many of the key technology standards in areas related to information management, cloud, privacy, and security.

I’ve been keenly watching the development and adoption of CMIS since its early beginnings in 2006 as an idea incubated by the AIIM iECM standards committee, and then moved to the stewardship of OASIS in 2008, once a critical mass of major vendor support had coalesced. Interoperability has always been an important requirement for ECM systems, not only because most large organizations have multiple systems, often from different vendors, but because business content needs to move, flow, and be accessible to many other essential line-of-business applications.

Interoperability is also finding renewed purpose as content management moves to the cloud, and content must be accessible to users, devices, and apps regardless of whether it is stored on-premises or in a hosted repository. According to the OASIS press release, “CMIS frees content trapped in traditional ‘content silos’ and facilitates ‘content in the cloud’ and mobile computing.”

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Digital Disruption Via Big Data — Coming To Your Neighborhood Soon!

Brian  Hopkins

I had the privilege of watching the recent NSA surveillance story unfold from my hotel room in London this June. Seeing the story from a decidedly non-American viewpoint got me thinking a bit differently about the implications for our society. From my point of view — no matter how you define the squishy and now beat-to-death “big data” concept — the NSA story has moved it from something “they use” to something that is uncomfortably close to where we live our lives. In other words, big data just moved in next door and is peeking over our fences into our living rooms. Eeek.

There are lots of socio-political issues with this, and I’m not even going to go there. However, the way that I see it, this incident will ultimately create a lot of opportunity for businesses savvy enough to get ahead of it the can of worms now squirming in our laps.

I think one of two things is going to happen. Either: 1) the US general public will shrug and go back to business as usual and this story will die, or 2) the public outrage will demand governmental oversight and accountability resulting in a tightening of our legal system. The latter case would be an example of how digital disruption, a topic we have written and blogged about for a while, is not just a business thing. It’s a cultural phenomenon that will rock our society for a long time.

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Is Skeuomorphism Holding Back The Evolution Of Records Management Technology?

Cheryl McKinnon

A few weeks ago I read a blog post by Seth Godin and it hit me like a ton of bricks: Records management is a skeuomorph. I confess, I had never heard of the term “skeuomorphism” until just a few months ago. I learned the word via blogs and tech articles discussing design trends in mobile.

What is a skeuomorph? A simple definition (courtesy of academic George Basalla, via Wikipedia) is “an element of design or structure that serves little or no purpose in the artifact fashioned from the new material but was essential to the object made from the original material.”

In other words, every time we pick up an iPad and download our digital “book” on an electronic “shelf” painted with virtual wood stain – we are engaging with a skeuomorph – like this one:


Image Source:

Since joining Forrester this year, I’ve had the opportunity to get briefed on the RM offerings of many ECM and information governance vendors, and with just a few exceptions, there are some unmistakable common threads I see across products. Top of that list? A user experience that has lifted the paradigm of paper and plopped it on top of an electronic records repository.

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Embrace Open Source Software In A Balanced Way

Charlie Dai

Ten years ago, open source software (OSS) was more like a toy for independent software vendors (ISVs) in China: Only the geeks in R&D played around with it. However, the software industry has been developing quickly in China throughout the past decade, and technology trends such as service-oriented architecture (SOA), business process management (BPM), cloud computing, the mobile Internet, and big data are driving much broader adoption of OSS.

  • OSS has become a widely used element of firms’ enterprise architecture.  For front-end application architecture on the client side, various open source frameworks, such as jQuery and ExtJS, have been incorporated into many ISVs’ front-end frameworks.  On the server side, OSS like Node.js is becoming popular for ISVs in China for high Web throughput capabilities. From an infrastructure and information architecture perspective, open source offerings like Openstack, Cloudstack, and Eucalyptus have been piloted by major telecom carriers including China Telecom and China Unicom, as well as information and communication solution providers like Huawei and IT service providers like CIeNET. To round this out, many startup companies are developing solutions based on MongoDB, an open source NoSQL database.
  • Familiarity with OSS is becoming a necessary qualification for software developers and product strategy professionals. Because of the wide usage of OSS among both vendors and end users, working experience and extensive knowledge with OSS is becoming a necessary qualification not only for software engineers, but also an important factors for product strategy professionals to establish appropriate product road maps and support their business initiatives.
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Microsoft brings Windows Azure to China – is this the start of a new era?

Charlie Dai

Back in October 2011, Microsoft named the initiative to introduce Windows Azure cloud platform into the Chinese market “Moon Cake,” which represents harmony and happiness in Chinese culture. On May 23, 2013, Microsoft made the announcement in Shanghai that Windows Azure will be available in Chinese market starting on June 6 —  almost half a year after its agreement with Shanghai government and 21ViaNet to operate Windows Azure together last November. Chinese customers will finally be able to “taste” this foreign moon cake.

I believe that a new chapter of cloud is going to be written by a new ecosystem in China market, and Microsoft will be the leader of this disruption. My reasons:

  • The cloud market in China will be more disrupted. Due to the regulatory limitations on data center and related telecom value-added services operations for foreign players, the cloud market for both infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) has been an easy battlefield for local players, such as Alibaba/HiChina. Microsoft’s innovative way working with both government and local service partners to break through this “great wall” shows all of the major global giants, such as, the great opportunity from this approach to the Chinese market. We can anticipate that they will also enter the Chinese market in the coming six to 18 months.
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BPM Vendors Hint At New Ways To Navigate Complex Work

Clay Richardson

Earlier this month I attended IBM Impact in Las Vegas where the software vendor announced new enhancements and features for their BPM suite product. On the face of it, the announcement sounded a bit underwhelming, with heavy emphasis on updating core functionality that was needed to remain competitive in the market.  However, one bullet in the announcement stood out:

  • “Significant enhancements to the IBM BPM built-in dashboards to help improve business process outcomes and enable the creation of custom dashboards.”
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Healthcare – an industry transformed by technology. Could you be the Forrester analyst to cover it?

Alex Cullen

The healthcare industry is undergoing transformation.  What’s driving this?  A wide range of factors, from new regulations and government programs, to new treatments and approaches,  to perpetually rising costs.  To thrive in this environment, , Forrester believes healthcare providers and payers must embrace four critical imperatives that will provide the most transformational impact:

  • The Age of the Customer.  Health insurance has historically focused on plans and subscribers, and healthcare providers on patients in treatment.  But both of these industries – like many others, are now seeing the need to be Customer-centric, and to engage their customers in a holistic and personalized way.
  • Mobile engagement.  These customers use mobile as an extension of their daily life.  Smart healthcare providers and payers are using this to provide services to keep their customers healthy, not just treat them when they come to a clinic.
  • Insights through Big Data and analytics.  To engage these customers, healthcare firms needs more insights into who they are, how they live, and how best to serve them.  Enter the opportunities provided by the confluence of Big Data, Social, Open Data, predictive analytics and smart business processes.
  • Digital disruption.  Healthcare is big business, dominated by big firms.  But at the other end of the spectrum are nimble innovators with mobile apps, health monitoring devices and social tools.  Are they competitors or potential partners?  How should these big firms bring digital disruption techniques into their business?
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Why Maturity Models for Data Governance are irrelevant in the Data Economy?

Henry Peyret


There are multiple maturity models and associated assessments for Data Governance on the market. Some are from software vendors, or from consulting companies, which use these as the basis for selling services.  Others are from professional groups like the one from the Data Governance Council.

They are all good – but frankly not adequate for the data economy many companies are entering into.  I think it is useful to reshuffle some too well established ideas...

Maturity models in general are attractive because:

-                       Using a maturity model is nearly a ‘no-brainer’ exercise. You run an assessment and determine your current maturity level. Then you can make a list of the actions which will drive you to the next level. You do not need to ask your business for advice, nor involve too many people for interviews.

-                       Most data governance maturity models are modeled on the very well known CMMI. That means that they are similar at least in terms of structure/levels. So the debate between the advantages of one vs another is limited to its level of detail.

But as firms move into the data economy – with what this means for their sourcing, analyzing and leveraging data, I think that today’s maturity models for data governance are becoming less relevant – and even an impediment:

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MDM Is About Golden Profiles

Michele Goetz

There is a shift underway with master data management (MDM) that can't be ignored. It is no longer good enough to master domains in a silo and think of MDM as an integration tool. First-generation implementations have provided success to companies seeking to manage duplication, establishing a master definition, and consolidating data into a data warehouse. All good things. However, as organizations embrace federated environments and put big data architectures into wider use, these built-for-purpose MDM implementations are too narrowly focused and at times as rigid as the traditional data management platforms they support.

Yet, it doesn't have to be that way. By nature, MDM is meant to provide flexibility and elasticity to managing both single and multiple master domains. First, MDM has to be redefined from a data integration tool to a data modeling tool. Then, MDM is better aligned to business patterns and information needs, as it is designed by business context.

Enter The Golden Profile

When the business wants to put master data to use it is about how to have a view of a domain. The business doesn't think in terms of records, it thinks about using the data to improve customer relationships, grow the business, improve processes, or any host of other business tasks and objectives. A golden profile fits this need by providing the definition and framework that flexes to deliver master data based on context. It can do so because it is driven by data relationships.  

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