Insights
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 inquiry@nwsm.com for a session on business analytics