Posts Tagged ‘Data analysis’
Data Transparency’s Value
In all the various occupations, engineers are at or near the top of the list of being data junkies. They are analytical by nature. That means they not only like data and analytics, they understand its intrinsic value. The Scholarly Kitchen brought this interesting topic to us in their article, “Data Transparency and Civil Engineers.”…
Read MoreDifferent Data, Different Needs
Unstructured data is information in many different forms that doesn’t fit conventional data models and therefore typically isn’t a good fit for a mainstream relational database. It’s the black sheep of data. Datanami brought this interesting information to our attention in their article, “5 Critical Steps for Identifying the Value in Your Unstructured Information.” Thanks to the…
Read MoreFighting Crime with Data
Data sharing and transparency across networks is important to equip IT teams against potential cyber security threats. However, ensuring that organizations develop a proper nerve center for the various tools to work together is also key. State Scoop brought this information to our attention in their article, “Tips to improve cybersecurity with a data-analytics nerve…
Read MoreMachine Learning Used to Optimize Data
Bloomberg is harnessing the power of an emerging technology to develop new products and services. This interesting news came to us from Diginomica in their article, “How Bloomberg uses machine learning to create a competitive advantage.” Using machine-learning technology to utilize its vast data sets of financial information to its utmost, their results are new and…
Read MorePredicting Behavior
Predictive modeling is a process that uses data mining and probability to forecast outcomes. Each model is made up of a number of predictors, which are variables that are likely to influence future results. Once data has been collected for relevant predictors, a statistical model is formulated. As additional data becomes available, the statistical analysis model is validated or revised. It’s…
Read MoreOpen and Freely Available
Open data is the idea that some data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control. The philosophy behind open data has been long established, but the term itself is fairly new and gaining popularity with the rise of the Internet. This…
Read MoreStart with Strategy
A good business strategy contains many things and many tools are used to reach the final product. Analytics, data governance, and information architecture are just the beginning. DATAVERSITY brought this interesting information to our attention in their article, “It’s Time to Build a Cohesive Data Strategy.” The information management activities may be siloed across the enterprise…
Read MoreCognitive Computing in 2019
Computers have always been faster and more efficient than humans at consuming, calculating and computing data. Artificial intelligence (AI) is a prime example of that and a significant player in the global economy. Yet, computers do have their limitations. They are machines and lack native precision when attempting to recognize and interpret language, objects or images…
Read MoreDiscovering Knowledge Insights with Cognitive Computing
The following article is posted in its entirety with permission from KMWorld. Cognitive computing, machine learning, and artificial intelligence have the ability to transform knowledge management in the enterprise. Strategic KM platforms using AI to discover insights, AI-powered search that leads to enhanced analytics and discoverability, and knowledge bases made more effective with metadata are components…
Read MoreApproachable Data Governance
Data governance is the overall management of the availability, usability, integrity and security of data used in an enterprise. A sound data governance program is important to execute those procedures and avoid data misuse. Silicon ANGLE brought this interesting topic to us in their article, “Data governance does more than thwart GDPR police — a lot more.” Dread of data…
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