When you think about the different ways that data gets used in your company, what comes to mind?

You surely have some executive dashboards, and some quarterly reports. There might be a reporting portal containing everything that IT created for anyone within the past decade.

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When asked “What’s your data strategy?” do you reply “We’re getting Hadoop…” or “We just hired a data scientist…” or “If we only had a data lake, all our problems would be solved…”? Plotting a good data strategy requires more than buying a tool, hiring a resource, or adding a component to your architecture. You need something to describe:

  • the goals you are trying to achieve,
  • the stakeholders you are trying to serve, and
  • the internal capabilities required to satisfy those stakeholders and achieve those goals

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Any discussion of Master Data Management automatically includes a discussion of Data Governance. The two go hand in hand. Successful MDM implementations require understanding data ownership, stewardship, and security, as well as determining business rules to be applied to the data. Specific business rules usually include rules for matching and consolidating data items as well as data quality checks. Read more

If your organization is seeking to better manage its information as a corporate asset that is to be valued and capitalized, you’re likely focused on implementing programs that will catalyze measurable business results from mountains of business information that may be the product of the last decade or more of digital transformation initiatives. Read more

Governance is the ongoing process of creating and managing processes, policies, and information. This includes strategies, processes, activities, skills, organizations, and technologies for the purpose of accelerating business outcomes. It also involves creating organizations, roles and responsibilities to perform this management. In our experience, many organizations address governance once and often without completing the necessary tasks. Organizations that excel in data and analytics governance continuously manage the process on an ongoing basis. Read more

IT and business leaders share a common goal – to leverage the data available to them in order to make more informed business decisions. The first step to achieving that goal is to create a data & analytics roadmap, a task many companies find daunting. Where do you begin?

 

“Most organizations are ineffective in communicating data & analytics-related concepts across departments, resulting in suboptimal management and utilization of information.”

– Doug Laney, Gartner Blog Network

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