Expert’s ears immediately perk up upon attending a talk about how to get big insights from Analytics. After all, Analytics has become the new hot topic of the day. However, asked Nipa Basu, during her keynote presentation The Future of Analytics at the DATAVERSITY Enterprise Analytics Online 2017 Conference: “What is the difference between hype […]
Data Lake vs. Data Swamp: Leveraging Enterprise Data
One organization’s Data Lake may very well be someone else’s Data Swamp. The difference lies in how data is curated. What does this mean? For starters, a Data Lake describes where vast amount of data of various types and structures can be ingested, stored, assessed, and analyzed. Specifically, Data Lakes make it easy for Data […]
Data Governance 2.0 at the Hub of Data Curation
Data Curation needs to be guided by Data Governance so it can secure itself a place as a core Data Management requirement. The MIT Technology Review Insights states, “Data is the single biggest asset at most organizations. It’s time to start treating it accordingly.” Towards that end, leaders and boards have been called to action […]
Blockchain Demystified: The Next Database Management Evolution
Prepare for Blockchain technology to revolutionize business, society, and almost everything in between. Blockchain, also known as Distributed Ledger Technology, has the “potential to deliver disruptive outcomes and reshape digital business in 2018.” Investments in Blockchain startups topped $1.4 billion in 2016 and garnered interest among a variety of industries, from finance to insurance and education to […]
Data Architecture and the Need to Choose the Right Data Platform
Making do with a less than optimal Data Architecture and Data Platform is like reaching to pay for groceries and finding no wallet or cash. As William McKnight, President of McKnight Consulting Group asked during his Keynote Address for the DATAVERSITY® Database Now! Online 2017 Conference, “We may be overwhelmed by data, should we not […]
What is Analytics?
Analytics, is described as: “[An] encompassing and multidimensional field that uses mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns and knowledge in recorded data.” Analytics uses the scientific method where an analyst makes hypotheses and uses the analytics tools to test their premises. Analytics is often broken down into three components: Descriptive […]
What is Artificial Intelligence (AI)?
According to the SAS Institute: “Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can […]
What is Augmented Analytics?
Augmented Analytics combines sophisticated Machine Learning (ML) and Natural Language Processing (NLP) to enable users to extract intelligence more quickly and simply. In addition, this kind of automation guides the user toward new insights, through built-in trend pattern recognition and pattern recognition tools. Augmented Analytics share the following characteristics: Smart Data Discovery tools assisting business […]
To Drive Business Success Implement a Data Catalog and Data Inventory
Successful Data Management needs a Data Inventory and a Data Catalog. Operating a business without these is like ordering a meal in a restaurant without a menu, where the waiter and waitresses ask the patron to choose a platter from some vegetables, meats, and fruits, that happen to be on hand. An establishment like this […]
What is Big Data?
Big Data refers to extremely large data sets of varying types of data – structured, unstructured, and semi-structured – that can be collected, stored, and later analyzed to provide insights for organizations. Big Data’s promise depends on how the data is managed. In the past data was organized in relational models, sometimes within data warehouses, […]