Sponsor: SiSense

Download our free white paper to learn what you should consider before choosing a business intelligence solution.

Discover the differences between Sisense’s end to end solution and tools that are labeled as Business Intelligence but focus only on data visualization.

Learn how to form a realistic business intelligence budget based on your company’s needs. Get concrete numbers and timeframes, like exactly what a BI project should cost out of your annual operating budget.

Is your organization struggling to get valuable business insights from its data? 5 simple signs could be telling you your business needs a better way to handle data. Find out how to evaluate your situation to see if a business intelligence solution makes sense for you.

Read this white paper to choose the correct technology for your next business analytics project. It will give a better understanding of the Typical Business Analytics Architecture: In-Memory & In-Chip Technologies, RDBMS, ETL, Data Warehouse, Data Marts and End-User Tools.

According to Gartner Research, one of the biggest issues with Business Intelligence (BI) adoption is poor query performance. Business users want immediate results using fast and responsive applications, and anything longer than a typical Google search is simply too long to wait. This paper will explain why In-Memory Technology is Important for Business Analytics.

Implementing a Business Intelligence (BI) solution leads to dramatic operational improvements and benefits that far outweigh the investments in time, money, and personnel necessary to select, deploy, and maintain such an application. Unfortunately, far too many BI deployments fail to reach their anticipated potential, and prove to be a disappointment to both management and users. In this paper, we depict a series of the most common BI obstacles, and illustrate how to avoid many of these pitfalls.