As enterprises sift through their big data, prepare it, and formulate
query and analytics approaches, it isn’t too early to also start work on a
reporting architecture that can present big data in ways that make it most immediately

In the old days, systems analysts sat down with business
users to define online and batch reporting requirements that included report formats,
labels for columns, which data appeared in each column, and so on. Big data presents a different set of reporting challenges when
it comes to defining reports because its
purposes are much more diverse; also, companies are confronted with myriad big data reporting choices from vendors, and that can add to the
confusion when it’s time to standardize reporting.

The bottom line is big data reports must be actionable. This means
that the reporting “forms” you pour big data into must be tuned to deliver
results in the most actionable format possible for the purposes for which they are

Presently, big data reports in enterprises come in several flavors:

  • “Bottom line” reports from big data
    that come in the form of system alerts and visual dashboards;
  • Graphical summaries of big data that
    can be further probed for detail; and
  • Standard spreadsheet formats that present a combination of data summary and detail information in a
    columnar format that can readily be manipulated by moving columns, changing
    sorts, and adding data operands to produce offshoot scenarios of the original
    baseline report.

All of these reporting formats are capable of delivering great
value, but they can only be optimized if a business analyst puts on an
engineer’s hat and thinks about form, fit, and function.

Sample scenarios

Here are four examples that demonstrate my point.

  • You’re the head of e-commerce
    and want to know how the online store’s transaction system is performing right now; do you want a detailed report
    from your big data to sift through, or a dashboard that flashes red, green or
    yellow based upon system operating status?
  • You’re in charge of a city tram system and a set of track
    goes down; do you prefer an immediate system alert of the problem, or a line-by-line display of status on your desktop or mobile display that you have to read
  • You’re the vice
    president of sales and want to look at your percent of revenues this year in Germany,
    Japan, Brazil, and the U.S.; do you prefer a graphical summary with some
    drill-down capability, or a detailed spreadsheet where you can manipulate
    columns, but you have to put in extra time that you don’t have?
  • You work in accounting, and you want to investigate
    how to better manage expenses to improve margin; are you better served with a graphical summary of data or a detailed spreadsheet with a full set of manipulative
    tools that can really get you down deep into the data for purpose of discovery?

In each case, you’d want reporting that is immediately actionable, though the types of actions you’d consider actionable vary as broadly based on job function. For this reason, when you go to user meetings to discuss the best way to harness big data to help their business, be sure to find the functional report that best suits their needs based upon how they will use the report.