By Jack Phillips, Jun 22, 2017
Last week I had the pleasure of meeting with two promising new(ish) data analytics companies that are worth exploring: NGDATA and Podium Data. Both have established and tested products, clear value propositions, and a strong list of initial customers.
By Rich Lanza, May 23, 2017
Corruption is essentially the abuse of entrusted power for private gain; it uses a company as a tool for personal gain which is contrary to the official or fiduciary duty of the organization. Companies serious about reducing fraud within their walls need to recognize that regardless of their size and type, corruption is one of the most pervasive and impactful fraud types. It can occur in any department/division making purchases or from the other side of the business transaction in the company sales cycle.
By Bill Franks, May 11, 2017
There have been many science fiction stories (as well as video games!) that revolve around the tradeoffs between powerful, strong, hard to harm combatants and those that are small, nimble, but easy to harm. Both have their merits and both can be useful in different situations. However, the same profile doesn’t work best in every situation.
By Geoffrey Moore, May 09, 2017
We are all stakeholders in the economic systems within which we live and work, and the better we can understand their dynamics, the more likely we are to navigate them successfully. For the most developed economies of today, this means understanding the transition from an industrial to a digital economy, and specifically, how economic power is migrating from familiar to unfamiliar sites.
By Thomas H. Davenport, May 02, 2017
Many organizations today are wondering how to get into machine learning, and what it means for their existing analytics operation. There are many different types of machine learning, and a variety of definitions of the term. I view machine learning as any data-driven approach to explanations, classifications, and predictions that uses automation to construct a model. The computer constructing the model “learns” during the construction process what model best fits the data. Some machine learning models continue to improve their results over time, but most don’t. Machine learning, in other words, is a form of automating your analytics. And it has the potential to make human analysts wildly more productive.
By Rich Lanza, May 01, 2017
Available to Research & Advisory Network Clients and Professional Members
This brief is intended for both internal auditors and information security practitioners who are eager to use quantitative data and analytics as a reliable tool to expose corrupt practices, and analytics professionals who are seeking a primer on the key application areas for analytics in the area of corruption.
By Robin Way, Apr 27, 2017
When I attend industry conferences or speak with Chief Data Officers (CDOs) and Chief Analytics Officers (CAOs) of large financial institutions, one popular question that arises is, “What do you hear about open source analytics in other large banks? Is it ready for production?”
By David Alles, Apr 24, 2017
Available to Research & Advisory Network Clients Only
Strata is a large conference covering a diverse set of data, analytics, and business topics. Tuesday (3/14/17) featured morning and afternoon tutorials (22 total with half day and full day sessions) covering a range of topics including: Developing a Modern Data Enterprise, Getting Started with TensorFlow, Architecting a Data Platform, and Determining the Economic Value of Your Data. Wednesday (3/15/17) and Thursday (3/16/17) featured keynote sessions in the morning followed by 45-minute breakout sessions until late in the afternoon. There were up to 17 breakout sessions in each session block and the conference also had an Expo Hall featuring over 150 vendors. Our objective for this report is to summarize the common themes and key trends emphasized at Strata into an easy-to-read guide that can serve as both a general reference and a resource for planning analytics initiatives. With this in mind, the report is organized into the following seven sections.
By Geoffrey Moore, Apr 20, 2017
As I have discussed in prior blogs, the focus of enterprise computing for most of the 20th century was on deploying Systems of Record, first on mainframes, then minicomputers, then client-server systems. These were and continue to be the transaction processing backbones that drive global commerce. In the first fifteen years of this century, however, we have seen a profound shift in spending emphasis away from Systems of Record, which are now in maintenance mode, and toward Systems of Engagement, the focus being on connecting with customers, partners, and employees in digitally effective ways leveraging the ubiquity of smart phones. That movement has been inside the tornado for some time now such that, while there will be a lot of money spent here over the next ten years, I think it is time to look ahead to the next wave.
By Jack Phillips, Apr 13, 2017
Available to Research & Advisory Network Clients Only
IIA hosted its first client-only Symposium of 2017 on March 14, 2017 at the VMware campus in Palo Alto, CA. Over 100 of IIA’s research clients gathered for the Symposium featuring five keynotes and two panel discussions. Given the location in the heart of Silicon Valley, the theme of the Spring Symposium was innovation, disruption, and the growing role of technology in shaping how analytics and data management are executed inside enterprises today.