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Data Management: Businesses Look to Data to Improve Efficiency and Reduce Costs
How are businesses targeting data to promote growth? A survey by CompTIA identified three categories of trends that they see across businesses: Analyze – Identify the sources of data and processes that use the data Organize – Businesses are creating…
Data Quality: Poor Quality Impacts AI and Analytics Projects
Data prep is essential to effectively using data-based tools like Data Analytics, Big Data, Machine Learning and AI, as discussed in yesterday’s post. A recent study by O’Reilly backs up the importance of data quality. The O’Reilly report finds few…
Data Dispersal: Where is Your Data?
In order to secure data, you first need to know where it is, and that has become increasingly challenging, according to a report by McAfee. Businesses are migrating their data from on-premise to cloud services. Data is sprawls across multiple…
Data Quality: Blockchain Smart Contracts
“Poor data quality is enemy number one to the widespread profitable use of machine learning,” is one of the conclusions of a Trifacta report. The report finds that only 26 percent of businesses have confidence in the accuracy of their…
Time-Series Databases: Toolset to Monitor IoT Data
The Internet of Things (IoT) and the sensor devices that power it are designed to be producers of massive amounts of data. Much of the data being produced is focuses on the changes of data over time. Time series databases…