DataOps is NOT DevOps
CRISP-DM is iterative, meaning steps can be revisited as needed. Adjustments in one phase may necessitate changes in previous stages. This flexibility makes CRISP-DM robust and adaptable to various problems and industries.
10 things businesses forget when building out their analytics strategy
Creating an effective analytics strategy is crucial for businesses to make informed decisions and achieve long-term success. However, it's easy to overlook certain aspects during the planning and implementation phases. Here are ten things businesses often forget when building out their analytics strategy:
The Systematic Approach for Analytics
By following this process of interview, research, design, and build, you can develop an analytics package that effectively addresses the needs of stakeholders and provides valuable insights for decision-making.
SQL Query Optimization! Order of Operations!
The order of operations in SQL, often referred to as the SQL execution order or SQL order of precedence, dictates how an SQL query is processed by the database management system. Understanding this order is crucial for writing efficient queries and troubleshooting unexpected results. Here's the standard order in which SQL operations are executed:
Top 3 Tips for learning Data Analytics
Embarking on a journey into data analytics is an exciting endeavor, especially as we progress further into the digital age. The field is vast, with various niches and specialties, but there are foundational areas that are particularly crucial for those looking to make a significant impact in 2024. Here are my top three topics to focus on:
The Top 3 Essential Questions for Interviewing a Stakeholder for Their Current Analytic Needs
Click here to see the TOP 3 pivotal questions when interviewing a stakeholder for their analytical needs.
Highly Engaging Dashboards!
Here are my top three design features that stand as pillars for creating an intuitive and impactful dashboard in today's data-driven landscape
Can your industry transition to being data-centered?
Let Discuss this article, written by S.N. Subrahmanyan and Sanjay Jalona as they explain why you need to make the shift, even if you believe your industry lacks the support or capacity for it!
Are you a Citizen Data Scientist?
Are you a Citizen Data Scientist? Is this the new normal? A what point do we draw the line for consistency?