In my last post, I discussed some practical steps you can take to collect the right information for justifying why your business should design and implement a data strategy. Having identified weaknesses in your environment that could impede business success, your next step is to drill down deeper to determine where there may be
Tag: data strategy
With data now impacting nearly every business activity, there should no longer be any doubt that data needs to be managed as a strategic corporate asset. This post examines the top five characteristics of a strong data strategy. Existence As I previously blogged, in today’s fast-moving business world now often takes priority
While setting up meetings with business consumers developing a data warehouse environment, I was involved in some very interesting conversations. Following are some of the assumptions that were made during these conversations, as well as a few observations. To get a well-rounded view of this topic, read my earlier post that focuses on the IT perspective.
.@philsimon on the convergence between tools such as Hadoop and strategy.
People often seek out our company for guidance related to master data management, data governance and data quality. But I see a frequent pattern, where the customer presumes that they need a particular data management solution – even if there is no specific data management problem. This approach is often triggered in reaction
.@philsimon provides insights on whether a data strategy can result in competitive advantage.
"I skate to where the puck is going to be, not where it has been." - Wayne Gretzky I love this quote from Wayne Gretzky. It sums up how most organizations approach data strategy. Data strategy typically starts with a strategic plan laid down by the board. The CEO will
It’s obvious that an enterprise data strategy involves data – but we sometimes disregard the fact that it should also involve metadata. Why? Because it’s key to unlocking the value of data. Metadata shows you what data is available and how people can use it. It also reveals which data
.@philsimon begins a four-part series on the need for a proper data strategy.
In my first post, I talked about the hell of using Excel for all your data needs; in my second post, I covered the building blocks and initial first steps that will lead you to a future proof data strategy. Now let’s zoom in on the three domains that underpin
In my previous post, I discussed some of the challenges and costs organizations face when they’re stuck in Excel hell with no real data strategy. Now that we’ve discussed the problem, let’s dive into the solution. Every organization needs a data strategy with these building blocks: Your top priority is
This summer, I had several interesting sessions with customers and prospects. Much to my surprise, two of them, both multinational organizations, were doing most of their data related tasks in Excel. This happens every now and then -- I come across organizations (like yours?) where people are manipulating and ‘analysing’