Data analytics

data analytics

Data Analytics

Data analytics enables organizations to analyze all their data (real-time, historical, unstructured, structured, qualitative) to identify patterns and generate insights to inform and, in some cases, automate decisions, connecting intelligence and action. Today’s best solutions support the end-to-end analytical process from accessing, preparing, and analyzing data to operationalizing analytics and monitoring results.

Data analytics allows organizations to digitally transform their business and culture, becoming more innovative and forward-thinking in their decision-making. Going beyond traditional KPI monitoring and reporting to finding hidden patterns in data, algorithm-driven organizations are the new innovators and business leaders.

By shifting the paradigm beyond data to connect insights with action, companies are able to create personalized customer experiences, build connected digital products, optimize operations, and increase employee productivity.

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How to Use Data Analytics: The analytical process

Understand the business problem.
Collect/identify data relevant to the problem.
Prep the data for analysis.
Analyze the data to generate insights.
Deploy/operationalize analytics and models.
Monitor and optimize performance.

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