This all sounds relatively straightforward, but the truth is that it will take careful planning and architecture to pull it off successfully. In the end, the movement to cloud will be a journey for everybody.
The tool requires just eight minutes of your time, and the insights you draw from it could shape your analytics success for years to come
On the other hand, the need to understand customers better, to use analytics to deliver better business outcomes, and to either be a digital disruptor or head off digital disruption has never been greater. My take is that the broader analytics spending will continue to grow, and along with it, the Big Data projects that are connected to measurable business outcomes.
Somebody at a conference once said to me: “Nobody knows what the role of a Chief Data Officer is, and if they did, they would not take the job!” That was 18 months ago, and even though the definition of the CDO role has clarified a great deal, but the improved role clarity has not reduced the challenge one iota.
Does an organization need to be well along on its digital journey to embrace data analytics? Do the two require each other? In recent years, it seems the digital movement and the data analytics movements have been separate endeavors, mutually exclusive of each other. New figures compiled by the CDO Club put the number of... more
To get ahead in the Internet of Things (IoT), a strong data analytics effort makes the difference. A new survey conducted by MIT finds companies with strong analytics capabilities are three times more likely to get value from IoT than are those with weaker analytics capabilities. Those are some key takeaways from a recent MIT... more
We're entering an era where organizations are looking to move beyond the traditional data warehouse. But the data warehouse is not going away just yet. Far from it. Data warehouses will remain an indispensable part of the analytics toolbox for a long time to come—but they won't stand alone.
This means that for data management you are going to have to connect to everything, and plan for the fact that “everything” might be on-premise or in the cloud for the foreseeable future. If data management was hard before with the complexity and silos of the data center, it is going to get much harder as the number of cloud applications and platforms grow.
Data connections are crucial to insight delivery. The best analytics tools, the most data, and the brightest people, will all fail to deliver business value unless you have an organization-wide data management strategy and architecture.
Okay, by now you’ve discovered that the people behind this big data marketing program are all geeks. And that I might just be the geekiest of all. This post will not disabuse you of that notion. Because this one’s about a great new chart we’ve created that does things we’ve never seen before: the Marketing... more