• Information Analytics and Insights

    Information Governance Dashboards and Infonomics

Make better informed decisions

You can’t manage what you don’t measure is an old management adage that is still accurate today. Unless you measure something you don’t know if it is getting better or worse. You can’t manage for improvement if you don’t measure to see what is getting better and what isn’t. Most organizations today have a real poor understanding of their “stock” of information assets, how much it costs, what is its value and how it will evolve in the next years. Building a model taken into account the variety of data repositories available, be them on-prem or in the cloud, the different content types, the existing file aging, the legal mandates and the current retention durations is the only way to get a better understanding of your information universe to take better informed decisions.

Visualize your past, current and future stock of information

Information Professionals need an easy way to visualize the quantity and volume of information assets they manage across the various content repositories they have. By creating a unified catalog of all information assets wherever they reside and by applying the right information lifecycle policies to each governed item, will let an information professional not only visualize and drill-down into past and present data but also manage future forecasts of their stock of information assets.

Predict future content growth based on past trends

The only way to predict content growth within an organization is to rely on past trends per content repository and per content type to derive patterns which could be applied to predict future forecasts. By recording all content creation and suppression activities on a per document serie basis and by knowing which type of retention policy to apply each individual item, a unified catalog combined to an information policy engine can help forecast content growth in term of number of items (quantity), volume (size) or cost (size * unit price per repository per year) by extrapolating growth trends.

Optimize retention and storage costs

What if you could play with some what-if content move and retention duration scenarios to see the impact on your catalog of information assets and see the impacts in term of quantity, volume and cost over time? Based on historical data and combined with a few additional assumptions such as the possible introduction of a new more affordable content repository or the reduction of some retention durations, an Information Professional can start to calculate the following corporate cost savings:

  • Disposition based Optimization: play with various retention durations optimization scenario on a per content type basis knowing that information is most of the time overretained by company just in case of to immediately visualize possible cost savings
  • Storage Tier Optimization: storing mass-volume of content on-prem on expensive ECM or other legacy archiving systems might be very costly compared to moving it to more affordable, newgen, hybrid cloud object stores.

Infonomics: Align information costs and risks to business value

Knowing the economic utility of such or such information asset is the only way to align its costs with its value. If not driven by an external law or regulation, information is most of the time kept by organization for decades just in case of without any consideration of its usefulness and economic relevancy. Infonomics (the contraction of Information and Economics) is a new emerging discipline which aims to apply accounting principles to information assets and manage it like any other corporate assets. One of the advantages among others is the ability to better distinct electronic trash (also called information liabilities) from the information assets (aka content which future expected economic value will exceed its information costs). Being able to overlay cumulated information costs to depreciated information value over time will help Information Professionals visualize the threshold when costs will exceed value and when it is time to take a recycle or delete decision by the organization.

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