Business intelligence and analytics are both inherently complex. They can, of course, be among the most valuable assets any company can hope to possess and use. That said, they can also be inherently futile, or even a hindrance, if not used properly. Something intended as a strategy to boost return on investment can end up getting in the way of that exact thing.
Some of the primary obstructions businesses need to be on the lookout for are an ill-formed threadbare strategy, an excessive preponderance of data with no way to properly use it and a lack of the right software and hardware. It will be wise to review these carefully and begin strategizing how best to plan against them.
Avoiding an overabundance of information
According to GigaOM, unstructured swaths of big data can be a company's worst enemy. Collecting BI in this manner – without the right tools to quantify it, categorize it and use it to draw actionable conclusions – will only lead to problems. Raymie Stata, former chief technology officer for Yahoo! and current CEO of Altiscale, told the news source that if a company's operations and IT personnel lack the solutions necessary to leverage big data across the whole firm – providing it to product teams, for example – then the information is all but useless.
The source stated that the best way to avoid this is to make sure that IT departments and executive teams work together with data and analytics, cooperating to gain as much value from it as possible.
Employing experts and strategy
InformationWeek recently reported that certain problems and deficiencies within a company have the surefire ability to torpedo any big data strategy it might attempt to implement. The first major issue is lacking the proper expert personnel within an IT department. Even if a business is equipped with the right software and hardware for optimal BI use, if staff are not properly trained or already experienced with these matters it won't make much of a difference.
Additionally, the news provider pointed out that businesses need to determine a purpose and strategy for big data. It won't do anybody any good to just start collecting this information if the company does not need it for a clear, identifiable reason. IT personnel may begin collecting big data without knowing exactly what to do with it, and if that happens it will just sit there collecting dust, so to speak.