What Is a Self-Help Model?

Self-service business intelligence to build significant efficiencies for businesses and meet growing business visibility and decision-making needs.

Self-service business intelligence

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Self-service business intelligence to build significant efficiencies for businesses and meet growing business visibility and decision-making needs.

Introduction

Self-service business intelligence (BI) is being adopted by many businesses to build significant efficiencies for businesses and meet the needs of increasing business visibility and decision-making. This self-service approach enables:

1. Business executives are more curious about analytical thinking and will learn more about business intelligence (BI) tools

2. The company eliminated IT involvement in deploying and supporting business intelligence (BI) tools.

3. Create a more analytically friendly environment where reports and dashboards are created, apply data within the enterprise and distribute it to company executives

4. Business executives have complete freedom to create the data they want to customize, which will lead them to make more confident and perfect decisions and significantly improve their business.

5. Business executives mine value from traditional untapped enterprise data.

When it comes to companies adapting to self-service delivery models, there are two main factors driving companies to generate self-service environments for business intelligence (BI).

1. Most companies increasingly need to create business visibility between top management and specific departments. That is, in terms of business, the perspective of senior management will only be at the strategic level, and he / she may not be as thorough as the business managers in the organization to understand what is driving the business within the scope of the function, but not strategically Make a strong decision. To increase business visibility, companies need to take advantage of self-service environments

2. Most departments in the enterprise find themselves drowning in the raw data of the business. Although IT has struggled to capture and manage this data, many have not yet leveraged those jobs to deliver actionable insights to the department. ^[1]