analytics bi buyer's guide

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FROM OUR Blog The Essential Analytics & Business Intelligence Guide for SMBs

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Post on 29-Jan-2018

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Page 1: Analytics BI Buyer's Guide

FROM OUR

Blog

The Essential Analytics & Business Intelligence Guide for SMBs

Page 2: Analytics BI Buyer's Guide

Analytics, one of the highest priority items for any informed organization today, consists of features and functionalities that work with every kind of data to get meaningful information. The ability to visualize information using graphs, charts or other visual representations is one of the most essential and convenient things about an analytics platform

Page 3: Analytics BI Buyer's Guide

Overall Costs A typical small business is expected to spend thousands of dollars on a Business Intelligence platform that would potentially be used by a few key people.

Page 4: Analytics BI Buyer's Guide

Implementation Time & Intensity A typical BI solution needs to connect to one or more databases that hold the information you would like to analyze. This aspect can make implementation much more complex and time intensive than previously anticipated.

Page 5: Analytics BI Buyer's Guide

Resources Needed Post Implementation After deployment, there may be costs of maintaining your BI solution and depending on the complexity, you may need to hire resources that have specific skills.

Page 6: Analytics BI Buyer's Guide

The Cloud For a cloud based Analytics platform the ability to store data in a specific geographic region is key. Organizations that work under strict data management regulations need to carefully consider this point as not all vendors offer the ability to guarantee data residency.

Page 7: Analytics BI Buyer's Guide

Top 10 Considerations Here are some key questions that an SMB should ask before saying yes to a BI solution. 1. Why do we need a BI solution 2. Which departments will use BI 3. Who are the end users for the solution 4. What are the specific needs of the end users 5. Where does the data reside that will be used 6. Do we need to be considerate of data residency 7. Do we need the solution on a public or private cloud 8. Does the solution offer an open API 9. Does the solution provide a low cost of implementation 10. Does the solution have low post implementation needs

Page 8: Analytics BI Buyer's Guide

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