Data driven innovation News
August 03, 2017
This is a guest blog post by Jane Zavalishina, CEO, Yandex Data Factory Well-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. ...
July 28, 2017
As a central bank, industry developer and regulator, the Monetary Authority of Singapore (MAS) relies on a broad set of transactional, behavioural and social media data to craft policies and drive ...
July 12, 2017
Ping Identity CEO Andre Durand talks with SearchSecurity about the data-driven move toward contextual authentication and intelligent identity and what this means for enterprises.
April 27, 2017
SAP Fieldglass Live Insights employs HANA machine-learning technology to perform cost-benefit analyses by location; new products and easier buying on the SAP Store.
Data driven innovation Get Started
Bring yourself up to speed with our introductory content
Predictive analytics can help companies identify trends and better understand customers. The potential business benefits are big, but building predictive models isn't simple. Continue Reading
The drive for greater security fuels IT more than ever, but fighting infosec threats depends on locating the right data sets and analyzing them efficiently. Continue Reading
If you want to harness the power of analytics and automation to ensure your organization's relevance, you'll have to create a culture of data. Here's how. Continue Reading
Evaluate Data driven innovation Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Rewatching 'Moneyball,' Niel Nickolaisen is reminded how much analytics have changed since the 2002 classic about data-driven baseball. Continue Reading
Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data. Continue Reading
Predictive analytics helps businesses maintain a competitive edge, but only with the right data. And even then, the most advanced analytics tools can't replace expertise. Continue Reading
Manage Data driven innovation
Learn to apply best practices and optimize your operations.
Innovation driven by data analytics is important, not only to companies, but also to dogs waiting to be adopted in shelters. SAS best practices consultant Jill Dyché explains why. Continue Reading
For an open source strategy to work, applications based on big data ecosystem components must be hardened to run in production. DevOps could be an important part of that. Continue Reading
Data analytics can help improve decision-making in organizations. But human intuition and judgment need to be part of the picture to keep predictive models and analytical algorithms from going awry. Continue Reading
Problem Solve Data driven innovation Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
The Brexit vote caused an enormous shock to the world's financial systems and cost investors a lot of money. But a data-driven strategy and machine learning tools helped some avoid the risks. Continue Reading
Analytics opportunities are booming, and surveys show big data projects are growing as well. In the new big data world, that should be exciting news for data scientists and business analysts itching to come up with ways to use all of the information at their fingertips. But the big data frontier isn't all about letting data scientists run wild with the information, and if the public response to the Edward Snowden NSA revelation is any indication, customers won't be happy if organizations let analysts have a free-for-all with their information. Balance is key.
For some companies, lawyers are getting involved with big data projects. At personal finance software company Intuit, lawyers, analytics managers, data scientists and others teamed up and made rules for accessing and analyzing different sets of customer data. This method may seem like a scary or stifling prospect for some data scientists, but such governance is inherently more collaborative and less controlling, which is a good thing for the analytics and the legal teams. Because the two groups with seemingly opposing objectives worked together instead of reacting to each other, they were better able to meet their objectives.
But a successful approach to big data projects doesn't have to mean full-on collaboration between lawyers and data scientists. Companies can find the mix of input that works from them. In this e-book chapter, get advice on striking the right balance between maintaining control over the big data analytics process and giving data scientists the freedom they need to do their jobs effectively. Continue Reading
IT and marketing executives illuminate the need for building a strong CIO/CMO alliance and offer steps to get you there. Continue Reading