There’s no excuse for poor data management anymore.
Companies should have no room for negative customer experiences, increased costs, and bungled regulatory compliance—all caused by mismanaged data.
It can seem like a new technology is trending every few days.
While many come and go, some have the ability to make a huge impact on business.
Let’s take a look at some of them to see how these disruptive technologies affect analytics.
Most companies struggle to derive value from business intelligence data, according to Supply Chain Quarterly’s analysis of research in big data analytics.
One of the most frustrating things about software is when it fails to provide value.
That’s exactly what static business intelligence software does.
Think to yourself: If this software vanished today, would I change how I do business?
Learning a new piece of software can be difficult, but it doesn’t have to be.
One way to make learning business analytics software a breeze is with SMART goals. SMART is an acronym that specifies the criteria for your goals. It stands for Specific, Measurable, Achievable, Relevant, and Time-Bound.
By setting SMART goals with regard to your implementation or onboarding of TADA, you can get your instance running quickly in order to develop insights quicker and make more effective decisions.
To say that implementing new enterprise software can be a challenge is an understatement.
We understand that business intelligence software implementation has a stigma attached to it.