Articles & Resources
Explore our articles and resources on data and analytics.
Strategy
What is a Data Strategy & Why is it Important?
In 2023, companies need a data strategy more than ever as the landscape of data management and analysis continues to evolve and become increasingly more complex.
Strategy
How to Build a Data Strategy Roadmap
A data strategy roadmap is a step-by-step guide to what needs to be done to achieve your desired business goals.
Strategy
Data Strategy Assessment: Current and Future State Analysis
By performing a data strategy assessment, you can answer critical questions about the data’s current state and its future state development.
Strategy
Enterprise Data Strategy: What is it? And why is it important?
Companies that utilize enterprise data strategy, are 58% more likely to surpass revenue goals when compared to non-data-driven competitors.
Strategy
Scrum Master Best Practices to Accelerate Data Projects
Scrum is a Delivery Framework, under the Agile umbrella, that can accelerate initiatives, breakdown data silos, and bring organizations together as a team to progress any project. Individuals certified in Scrum are known as Scrum Masters.
Strategy
Don't Let Technical Debt Bankrupt Your Data Foundation
Technical debt is commonly described as efforts deferred for the purpose of meeting deadlines or goals that will later need to be revisited and reworked for the final state product. It’s a tradeoff between gaining short-term benefits while sacrificing long-term value and overall efficiency.
Strategy
Why do you need a Data Strategy now more than ever?
With increasing globalization and technology developments spurring modern economics, Data Strategy has been vital in identifying and understanding customers.
Strategy
Data Offense or Data Defense: Flexibility vs Control
Data-driven organizations understand that their data is a strategic asset and to properly harness its power it must be supported by a sophisticated data strategy.
Strategy
Implementing a Proof of Concept (POC) Approach
Many c-suite executives are perplexed at the amount of money their organizations spend implementing and integrating data and software applications with limited evidence that they will even align with desired business outcomes.