No, Hadoop Isn’t Going To Replace Your Data Warehouse
The data says that Hadoop isn’t going to replace your enterprise data warehouse.
The data says that Hadoop isn’t going to replace your enterprise data warehouse.
Anyone who knows what this photo depicts? Hint: it’s the father of self-service….
What do you find people misunderstand about self-service BI’s concept?
That it’s a very hard thing to define concretely in terms of technology implementation. The underlying business need is a very broad concept that covers a very wide range of different types of technologies and information uses, and that the distinctions between “reports,” “dashboards”, “data discovery,” etc are blurry — and the need for “business information” covers a lot more than what is stored in traditional databases (documents, external news feeds, etc.)
There’s no truly self-service BI solution.
What chance does data have when faced with strong opinions?!
Analytics gives us not just the ability but the imperative to separate our planning activities into two distinct segments – detailed planning that leads to budgets in support of execution, and high-level, analytic-enabled business/scenario planning.
In the April 20 Washington Post, Jay Mathews writes about the dramatic increase in the length of college acceptance wait lists. His focus is on the strategies wait-listed high school seniors might pursue, but let’s consider just why those wait lists are so long.
Winning is the only measurement that counts most in sports, but what if your team does not win the championship? That is a guaranteed outcome for all but one team in each league every season.
Some teams suffer from decade-long droughts. In the absence of a championship, fan experience is the ultimate measure of success.
No magic prescription can prevent all losses or disappointments, but the basic formula to deliver a world-class fan experience almost always starts with decisions born out of data.
Developing scorekeeping metrics is a critically important yet undervalued role of the chief financial officer. CFOs ignore this role at their and their organizations’ peril, because if they don’t set the scorekeeping metrics, others will, and will make a mess of it.
If you are an analytics professional, then cloud analytics is in your future — if you’re not already doing it.
I’ve talked to lots of companies that claim that cloud analytics isn’t for them. But they’re wrong, not least because their marketing department is almost certainly already using some form of cloud analytics today (to track ads or social sentiment).
What will tip people towards using more cloud analytics?
BI professionals spend a significant portion of their time trying to instill the discipline of data-driven performance management into their business partners. However, isn’t there something wrong with teaching someone else to fly when you’re still learning to walk?
The number of users is the most trusted currency in the cloud. You know that if people pay for a service, then it’s providing something of value. And it gives you an opportunity to understand how people are using the software, see trends, gather benchmark information and turn this into advice and best practices in cloud solutions. This is something we’ve already done with our cloud solutions, and we have created innovative service offerings around best-practice co-innovated with customers and partners, such as social selling, collaborative onboarding, and learning.