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As businesses of all sizes rush to make sense of the growing volumes of data they are collecting, they face a variety of business intelligence challenges that complicate efforts to make BI processes productive, effective, and useful.
The challenges are shaped by multiple factors, including diverse data infrastructures, data management issues, new types of BI capabilities, and varying levels of data literacy in the workforce, in addition to proper data governance and security protections.
In many cases, the challenges start with getting approval and funding for a business intelligence program and developing a solid BI strategy that meets business requirements and can deliver the promised return on investment. In addition to conventional querying and reporting, BI strategies often need to incorporate mobile BI, real-time BI and analytics, augmented analytics, and other specialized applications, further increasing the deployment and management challenges.
Even when BI investment strategies align and projects move forward, challenges often arise in implementation. Stitching all the different data sources together isn’t nearly as easy. Executive sponsorship, staff changes, and lack of committed leadership can all make implementations more difficult than anticipated. Sometimes third-party implementation partners over promise and under deliver.
Then there is the issue of data quality. And even when the stars align, data quality is good, and the data integration is moving forward, run-time technical issues can arise. Poor integration and sluggish database performance can make the most visible executive dashboards slow to refresh.
To help organizations select the best Business intelligence Solution Providers, we present to you CIO Application’s “Top 10 Business Intelligence Solution Providers - 2021.”
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