Is Your Organization Deficient in Information Competency?
Interestingly, many organizations have jumped on the communications and collaboration bandwagon. Millennials love new technology – after all, it was their baby food. But organizations still fail at user adoption and achieving the anticipated benefits. Part of the problem is that many of these organizations have taken the plunge, but, to be honest, they aren’t really ready.
Several years ago I came across a ‘social data maturity model’ developed by Altimeter. I saved it, as I thought it was very relevant and have since modified it a tad. Despite the fact that the word ‘social’ has now morphed into ‘communication’ – that’s a different blog – I think it is still valid.
If we look at information competency, most organizations go through the following stages:
- Ad hoc: typically employed as a workgroup or functional solution, no benchmarks, and outcomes are typically vague or undefined, still widely used – now referred to as shadow IT.
- Formalized: move from learning to business relevance, wider organizational audience, metrics mapped to business outcomes, benchmarks emerging, processes defined by teams, adoption of productivity tools to meet the needs of a functional group, quasi-sanctioned by the organization.
- Integrated: learning, business relevance, holistic view, business metrics mapped to business outcomes, most metrics benchmarked, processes defined by social and business teams, communication and enterprise data sets viewed in tandem, adoption of tools to meet the needs of a broader audience at risk of overriding the gains achieved in stage 2, sanctioned by the organization.
- Holistic: learning, business relevance, holistic view, scale across the enterprise, all social metrics mapped to business outcomes, benchmarks established and shared, integrated into established processes and workflow, shared KPIs, all relevant customer-oriented data sets, adoption of enterprise tools at risk of overriding the gains achieved in stage 2 and stage 3 if use of previous tools is not approved, sanctioned and driven by executive management.
I would argue that many organizations are still at the ad hoc stage (group) and, often concurrently, at the holistic stage (enterprise). That’s where failure and user adoption start creeping in. In conjunction with the above, the infrastructure and architecture often does not lend itself to these technologies. It’s not always feasible to rip out the old and replace it with new. The core objective for those starting on this path is to fix the basics, and transform the infrastructure to provide more business focus and agility.
Many organizations still struggle just to get search to work. A whopping 91 percent of organizations still haven’t addressed their metadata problem, which means inaccurate, erroneous, or missing metadata. How will these solutions deliver the projected gains when information still can’t be found, accessed, or used? They can’t.
The enterprise framework that provides the ability to generate contextual meaning from content, delivering content in context, is needed to overcome the most fundamental flaw caused by the inability to find relevant and accurate information on demand. Information is the lifeblood of an organization and transforms it into an ‘intelligent enterprise’, ensuring integrity and veracity. Isn’t that what we are really seeking?
Where are you on the information maturity model? Do you still struggle with search? We recommend an enterprise metadata repository, which becomes the repository for all the metadata generated based on your corpus of information. It is automatically populated with semantic, multi-term metadata from your content.