The bi-annual Women in Technology Leadership Round Table was held at UC Berkeley in June, a few months after its organizers, Virginia Smith and Dr. Gitanjali Swamy, issued the report, Women In Tech: Addressing the Root Causes of Attrition. The report, which appeared after the Women in Technology inaugural Round Table in November, provided a […]
When Nurses Embrace Their Role in Data Governance, HealthCare Organizations Win
Have you ever stopped to consider the number of industries where the employees may not understand the importance of the data they record to the business’ overall operations? In the restaurant sector, for example, employees may not be particularly diligent about exactly following the processes for regularly recording the temperature of certain ingredients that go […]
Putting the Focus on Action in Prescriptive Analytics
The retail industry is an environment of Big Data just waiting to be exploited. It’s all there, from data related to real-world store sales and traffic, to customer loyalty engagement and social media sentiment, to supplier transaction information and even sensor findings from devices that monitor things like product temperatures. But one problem is that […]
Dynamic APIs for the Age of Digital Business
One ringy-dingy, two ringy-dingy. The words surely call to mind – at least to those familiar with the 1960s/70s TV show Rowan and Martin’s Laugh-in – images of Lily Tomlin as telephone operator Ernestine. But the digital businesses of a very different era do not want to have to rely on manual machinations all too […]
A New Take on Master Data Management
Master Data Management (MDM) is evolving. Forrester Research in its Forrester Wave: Master Data Management Q1 2016, released this spring, points out that organizations’ needs are becoming more complex, with many companies tightly linking their MDM efforts to customer engagement and business processes, and with data models becoming more dimensional while data levels grow deeper. […]
A New Take on Data Discovery, Data Management, and its Relationships
Having herself held senior roles in IT at Wall Street companies including Deutsche Bank and Morgan Stanley Smith Barney, Oksana Sokolovsky is quite familiar with the challenge of Data Management and data discovery. As co-founder and CEO of ROKITT, her goal was “to build a product that solves that challenge,” she says. The challenge exists […]
In-Memory Computing Platforms Respond to Evolving Enterprise Data Use Needs
In its just-released report, Cool Vendors in In-Memory Computing Technology 2016, Gartner highlighted a handful of interesting and innovative solutions within the In-Memory Computing (IMC) space for enabling a range of real-time analytics scenarios. It gave a first-time look at IMC-enabled analytics products from Bottlenose, Striim, and Zoomdata that target use cases including event stream […]
Semantic Technology is Ready to Power Next-Generation Cyber Security
Cyber security is always a hot topic, but every time another Big Data exposure makes headlines, it becomes even hotter. The leak of some 11 million records held in a database operated by offshore law firm Mossack Fonseca, which led to the Panama Papers investigation, is just the latest example of a massive breach generating […]
ERwin Looks to the Future of Data Modeling
The recently completed acquisition of Data Modeling industry leader ERwin from CA Technologies by private equity firm Parallax Capital Partners comes a couple of years after the Department of Justice effectively ended plans by Embarcadero Technologies to do the same. Since then, the market has gone through further transitions, with IDERA’s acquisition of Embarcadero last […]
MarkLogic’s New Enterprise NoSQL Solution Drives Next-Gen Apps and Processes
It’s time for the enterprise to seize the opportunity to build new applications and processes based on a synthesis of meaningful data brought together from diverse systems. Doing so requires some key things, though, starting with a database platform that supports seamlessly integrating the data and ensuring that it is understandable at the conceptual level. […]