Sometimes text analytics project in your company may not go the way you envisioned for multiple reasons. It could be bad data, incorrect software, stakeholder issues etc.

You may ask how to make text analytics projects run correctly for your business?

The following are general phases in a text analytics program with highlighted tips for planning and overall delivery.

 Defining Business Objectives

1. Clearly state business objective
2. Focus on particular business questions like most profitable customers
3. Ensure stakeholder awareness
4. Choose the right KPIs
5. Identify needs and deliver to appropriate personnel.

Creating Analytics Brief

6. Document all project activities
7. Check for data supporting your analysis
8. Create a project plan, agree the timescales of the project, allow time to review the results and build in a contingency for anomalies (typically 20%)
9. If data availability is an issue, inform stakeholders of revised approach.

Use the Right Resources

10. What is the budget?
11. Verify data is legally compliant for use in analysis
12. If the data needs to be sent to a third party are the relevant data processing agreements in place? Do they have appropriate data security standards/appropriate legal contracts?

Look for Good Data

13. All data should be verified
14. Run basic cross checks of data quality with respective department
15. Validate counts with existing reports
16. In-depth analysis starts when data is signed off

Never Deviate From Main Objective

17. Ensure analysis relates to the brief
18. Get regular updates from analysts
19. Doubtful findings need review before inclusion in final report

Generating Valuable Deliverables

20. Ensure factual presentation of the results
21. Allow questions
22. Stakeholders agreement on the most business critical findings
23. Agree on prioritization of implementation plans and initial timescales
24. Identify additional analysis or market research is required
25. Ensure anything that you learn in the process about planning, techniques, or findings are shared with other analysts for future projects.

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