Effective data analytics, business intelligence, machine learning and the host of tools and solutions that support these endeavors are underpinned by Data Strategy. Investing in and understanding data strategy will increase the likelihood of finding insight.
Frameworks for Finding Data Insight
Frameworks in programming or in business provide structure and dramatically improve efficiency. Using different frameworks to find data insight serve the same purpose.
In this post I briefly outline two frameworks for finding data insight:
- The scientific framework method
- The specific question framework method
These frameworks help define data strategy and provide an excellent starting point to turn data into actionable insight.
Ask the Right Question
Actionable insights are like finding needles in a haystack, so looking in the right haystack is definitely a good start.
A central goal of data strategy is asking and finding answers for critical business questions. In this article I outline a Question Framework, with example questions, that will help put data strategy and finding insight in context.
Tactics and Strategies for Actionable Insights
Change never stops and the need for new actionable insights is always present.
That means you need to continually seek insight while also improving your capability to generate those insights and leverage any insights you've previously discovered.
In this post I discuss data tactics versus data strategy.
Data Strategy & Analytics for SME Businesses
Effective Data Strategy and Analytics has and continues to benefit large businesses. For those businesses with Revenues under $1 Billion or with revenues closer to $1 Million it can also be very beneficial.
SME businesses need to act. In this post I outline how analytics can help, and some actions to take now. I also show how visualizations have the potential to rapidly unlock value.
Always keep discovering...
Find insight by knowing what to look for and how to look smarter