The Tableau brand will survive longer than some feared even a month ago, as Einstein Analytics moves over to be renamed ‘Tableau CRM.’
This announcement, made in early October at the annual Tableau Conference, is the end of just one chapter in the Tableau epic.
The Tableau brand will survive longer than feared only a month ago. The recent Tableau Conference brought welcome news from Tableau CEO Adam Selipsky: Einstein Analytics will become part of Tableau and become known as Tableau CRM, making the Tableau brand a principal part of Salesforce.
• The bulk of the oil and gas industry came late to data analytics, which is so important now as the industry endures a long decline and competes with alternative energy
• Oil and gas companies should recruit for analytics skills and leadership, such as from alternative energy competitors
The oil and gas industry has been discovering a bounty of something perhaps more valuable than new reserves: new sources of data, much of it from new 5G and IoT installations. The big question is whether they can exploit data with the same level of skill they exploit new deposits.
• Oracle found the right time to market its scenario planning capabilities. Specialized vendors can also give good support, though few market for this planning method.
• The market for scenario planning support is ripe for new entries in a year of wildly discontinuous change.
Oracle has come out of the gate early with capabilities explicitly aimed at scenario planning — which in Oracle’s rendition of the classic method is at best a lightweight version that gets lost within the vendor’s rich planning ecosystem.
Longtime database vendor and now also analytics vendor Teradata is trying to fight off the perception that it just does data storage.
Teradata, in character with its quiet and reliable reputation, struck at the stereotype recently by announcing an expansion of its 20-year-old academic program.
Underneath all the buzz of technology marketing is the steady hum of stuff just working. Part of that hum seems to have always been Teradata, which has been around so long that the name even goes back to when a terabyte of data was impressive.
• The new tool’s story-first approach may succeed in winning over the vast numbers of business users who never use data.
• The software maker, Toucan, should consider new messaging and take more seriously the threat from other vendors to imitate its approach.
How do you present data to those who would rather run away at the first sight of a dashboard? Multiple surveys over the years all come to a similar conclusion: roughly three quarters of business people feel this way. They could use data but never do. Now a product out of Paris, France works on a radical idea: message first, data second to deliver only what people “need to know.”
That data-second concept bucks the conventional assumption, that users want data to make their own observations and conclusions. And they want to drill down as far as questions may lead them.
Toucan Toco’s top down approach is absolutely not self-service. Presentations are created by authors, who are forced to simplify and focus data in a lockstep path with very few choices. Authors can’t even change fonts. Toucan Toco enforces simplicity.
Messages have such primacy that creators can actually sketch out a presentation with fake data to create placeholders for real data. That’s easy to do because Toco ignores an old assumption, that those engaged in data like to drill down. Toco gives them, as the product literature puts it, only what they “need to know.”
Salesforce’s acquisition of Tableau was a milestone for the inception of a new, post-Tableau era of innovation.
Tableau’s absorption within Salesforce will leave competitive space for new products.
Back at Tableau’s first release in 2004, many data analysts felt their hearts stir. Some had already dreamed of data analysis that went as deep and as fast as the mind could go, but now Tableau made it possible. All they needed then was access to the data inside IT’s vaults. But that access to data was a problem for many IT departments, and there began a long insurgency. Continue reading “Tableau Still Helps People See and Understand Data, but Which People?”→
• Alternative data, or alt data, can indicate new trends much faster than conventional data
• Alt data is for domain experts only
The dawning of new trends might be described as being “like a string hanging down from the future.” That’s how the renowned forecaster Paul Saffo described it. The future first presents itself like the “odd event you can’t get out of your mind [that] could be a weak signal of a distant industry-disrupting S curve…”
Everyone’s looking for signs of the future. What’s going to happen to us? Who will suffer? When will the economy recover? Eyes are peeled for that weak but portentous S-curve.
The trouble, of course, is the abundance of those hanging strings. The great challenge is to distinguish strings that have real prescience. That’s true in ordinary times, but it’s far more important during upheavals like COVID and the shaken economy to follow. Alt-data customers say standard financial indicators and statistical releases are too slow. Continue reading “Using Alt Data to Glimpse the Alt Future”→
• Analysis isn’t enough anymore. To be truly data driven, organizations also need synthesis.
• The analysis-synthesis duo can thrive if supported by a handful of conditions and practices within the organization.
The recent QlikWorld Online conference came and went with no new public roadmap, but it did offer something better: an intriguing vision of an analytics trend that’s built on a handful of new requirements — which altogether stand as a row of streetlights for the analytics industry to portend a new road.
Understanding data depends on the knowledge brought to it.
It’s stylish these days to be ‘data driven’ even while almost no one talks about what that really means. Data is just a proxy, the spokes on the wheel, the shorthand for what’s really going on. What’s the real driver?
During a blizzard, for example, we may talk about degrees Fahrenheit or Celsius. But that’s shorthand for the cold and snow, which is what actually drives decisions about what to wear or whether to go out at all.