3 Steps to Make Your BI Implementation Shine

Bangalore: Setting up a BI implementation takes a lot of time, planning and perseverance. Even after you set up your practice, a palpable Return On Investment is not guaranteed. What does it take to succeed with a BI implementation? Take a look at 3 tips that can help:

1. Your Sales Pitch is Not Really Over: So the main corporate honchos have signed off on your deal and you have the capital for your implementation. Just remember the sales cycle hasn’t been completed. While their compliance is vital, it is necessary that you garner support from multiple areas of the organization to gain success. This means users on the business end and the IT end.

Even at a lower level annoyed employee could be the cause for failure of your project and may not lend support when you face issues. You need to identify the key players who will use and/or influence the implementation. Ensure that they are aware and supports usage of the tool before the plans are laid out. There may be many instances when the end user’s needs and problems vary drastically from what the executives have communicated. Executives might demand Mobile while the user might require self-service reporting. You need to address both their demands and reach an appropriate solution.

2. Demonstrate the Chance of Success: Just like consumers, businesses assume they will get quick results from IT and technology engagements.  It’s becoming progressively difficult to have a huge project schedule that can go months and years before delivery.  Businesses need to see the impact of BI immediately, so you could probably start on a smaller project that can show tangible value to the business.  Is there a report that desperately need and had to be delivered in a short time?  Accomplish it with BI and garner strong support.

3. Maintain Realistic Expectations: Business intelligence tools have many powerful attributes, but in the end they are only tools.  Data quality, underlying business processes, and politics within a company can modify the ability of an IT system to produce consequences, and BI is no different.  It's important to deal with any problems that might affect quality or a project schedule.