Tag Archives: SCRUM
Focus on the business impacts of analytics, not methodologies or insights…. keep the business involved in all iterations of an analytics process or project…. and remember, it’s ultimately skilled people that drive successful analytics.
These “secrets” of leading corporate analytical gurus may seem like everyday common sense, but rarely are put into practice. To find out what it takes for organizations to succeed with data analytics, Wayne Eckerson, founder of the BI Leadership Forum, recently spoke with seven exemplary analytics leaders, and distilled their advice in his latest book, Secrets of Analytical Leaders: Insights from Information Insiders. (more…)
Adopting Agile may require a cultural shift and in the beginning can be disruptive to an organization. However, as I mentioned in Part 1 of this blog series, Agile Data Integration holds the promise to increase chances of success, deliver projects faster, and reduce defects. Applying Lean principles within your organization can help ease the transition to Agile Data Integration. Lean is a set of principles first explored in the context of data integration by John Schmidt and David Lyle in their book on Lean Integration. First and foremost Lean recommends an organization focus on eliminating waste and optimizing the data integration process from the customers’ perspective. Agile Data Integration maximizes the business value of projects (e.g. Agile BI, Data Warehousing, Big Data Analytics, Data Migration, etc.) because you can get it right the first time by delivering exactly what the business needs when they need it. Break big projects into smaller more manageable deliverables so that you can incrementally deliver value to the business. Agile Data Integration also recommends the following: (more…)