Recently I’ve been having conversations with business intelligence and analytic leaders telling me that they have over 3 tools in their landscape and most likely a few more. A few more. What does that mean?
It’s time for enterprises to wake up and start thinking about consolidating before they start innovating. Here are the 5 reasons why you should start thinking about consolidating now:
Questions such as: how many data sources exist in your enterprise? or how many users are accessing these sources? Simple to ask but hard to receive. If decision makers cannot obtain these answers easily then consider the implications: bad budgeting, data distortion, report duplication, or worse!
With the influx of data that is being collected and analyzed, more reports are being created. That makes finding a specific report harder than it has ever been. Especially If reports are being gathered on multiple reporting tools. Consider what you could accomplish or answer in the time spent finding a specific report.
Communication is key to any organization. Co-workers and managers all need to be in sync to report with confidence and create actionable insights. It is this need for communication that slows down your workflow; waiting to get a report approved, obtaining access to a report, or even asking a question. While using one reporting tool may not complicate this process extremely, what happens if your using multiple tools? Also, with large enterprises that have multiple offices in different time zones … you get the point.
Cloud applications have made it easy for collaboration to be possible. The capability of sharing documents and having others to build upon them is the new future. How easy is it to track and share information currently within your enterprise? Managing multiple reports from different systems among teams can create confusion or data misrepresentation. Not to mention all the data that is updated in real-time. How can you stay on track with your team?
Is it so hard to believe that there can be one centralize source for data? We are all cynical when it comes to data and its unreliability. If data needs to be double or triple checked due to the dispersed data sets then how can you trust decisions being made. Now that end users are consuming more data than ever from “best of breed” solutions, where is the data being centralized?
Are any of these situations present within your organization? Is there something that you can do to fix it? If your answer is yes, and your solution is to employ an analytic platform that both aggregates and predicts… then good luck. Why invest hundreds of thousands of dollars and wait 6 to 12 months for a platform that isn’t what you wanted? Consolidation doesn’t have to be complicated. What if you could tackle all these problems within weeks? Imagine how much innovation can be done after simply consolidating your investments.