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Trust analytics

“Time and money are your scarcest resources. You want to make sure you’re allocating them in the highest-impact areas. Data reveals impact, and with data, you can bring more science to your decisions.” - Matt Trifiro CMO, at Vapor IO

“You can’t run a business today without data. But you also can’t let the numbers drive the car. No matter how big your company is or how far along you are, there’s an art to company-building that won’t fit in any spreadsheet.” - Chris Savage, CEO of Wistia

Data is powerful – and organizations around the world understand the value that data analytics hold when it comes to driving organizational growth and profitability.

Main stages of the data lifecycle:

  • Data collection and storage

  • Data processing and organization

  • Data analysis and visualization

Importance and benefits:

  • Recognizing patterns and trends

  • Understanding how data is compiled

  • Helping organizations reach their goals

  • Future-proofing

  • Helping stakeholders make better decisions

  • Improving productivity

  • Providing imperative information for organizations

  • Identifying and leveraging sources for competitive advantage

  • Mitigating risks

Types of data analytics

  • What is happening? - descriptive analytics

  • Why is it happening? - diagnostic analytics

  • What is likely to happen?  - predictive analytics

  • What do I need to do? - prescriptive analytics

Connect with us at for a session on business analytics

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