Retailers can use big data to gain insights into their customers to enhance the customer experience, improve marketing and to optimize pricing, inventory and supply chain management. The collection of vast amounts of data and using advanced retail analytics to discover insights, make predictions and generate recommendations provide tremendous opportunities. Data-driven decisions can maximize…
A data management platform (DMP) collects, manages, and analyzes data. This may sound just like a data analytics platform, but a DMP’s scope and purpose are more specific. It gathers audience data which is information about people who respond to advertisements or visit websites or other digital properties. The DMP uses this data to…
The previous blogs in this series discussed the top 5 pitfalls of traditional operational data warehouses and defined the Operational Data Warehouse (ODW) as a potential solution. Below is a list of my Top 10 desirable benefits of an effective ODW: Current. Continuous data updates via “micro-batches” or streamed singleton updates throughout the day…
Leveraging data Data is everywhere. Data comes from social interactions, personal devices, cloud service interactions, the environment, and many other places and things. There is a wide variety of data and a significant volume of data being collected every second. The velocity and quality of data are increasing every minute. Big data can be…
As businesses work to reopen and students return, in-person, to schools nationwide, track and trace is a critical component to mitigate potential resurgences in COVID-19 cases. The more densely populated a city, the harder track and trace will be. However, getting urban and suburban areas moving again is critical to jumpstarting the US economy.…
This may seem like an academic question, but it is increasingly becoming a reality for modern businesses. What do you do when you have millions of records with infinite width and depth, and your data warehouse chokes? Do you trim your data? Do you add more infrastructure capacity? Or do you need to look…
Healthcare is a data-driven industry with data analytics needs that make “big data” seem tiny. For healthcare companies to operate efficiently, they need a high-power data engine to crunch the numbers, analyze the data, and get it into the hands of decision-makers quickly. The healthcare industry is the epitome of business agility, and data…
Robotic process automation (or RPA for short) is the term used to describe the next generation of technology-enabled workflow management capabilities. RPA solutions come in various sizes and shapes from a myriad of different vendors. RPA is the current buzzword and has enormous growth opportunity but integration is complex and requires expensive skills and…
For many years, companies have been accumulating large amounts of data with an intuitive feeling that it has value and would be put to good use to make more informed business decisions. As we transition into a new era where machine learning and artificial intelligence are enabling more robust analysis of a company’s data…
Modern businesses move fast and the speed of business is accelerating every day with no sign of slowing. To survive, companies must find ways to remove friction in their systems and business processes – leveraging real-time operational data and translating it into actionable insights that drive activities across the company. From strategic decision-making to…
How quickly does your business environment changes? Are your leaders using outdated information, and do they know it? Do you find your data is slowing your decision-making processes and preventing you from being truly agile? Imagine what you could do if you were to harness the power of real-time data. Modern businesses operate in…
Actian DataFlow is a parallel workflow platform for end-to-end data access, transformation, preparation, and predictive analysis that eliminates performance bottlenecks in your data-intensive applications. Complementary to the Actian Vector analytic database, DataFlow leverages concurrency, parallelism and pipelining to accelerate data movement between locations in your data architecture, creating faster results. DataFlow eliminates memory constraints,…
The usefulness of an analytic database is closely tied to its ability to ingest, store, and process vast quantities of data. Data is typically ingested from multiple sources such as operational databases, CSV files, and continuous data streams. In most cases, daily data loads are measured in tens or hundreds of millions of rows,…
Last November we announced that Actian Vector - Community Edition, our high-performing SQL analytics solution for the cloud, launched for free on the AWS Marketplace. Now we're happy to announce that a similar version has now been released on the Microsoft Azure Marketplace in a similar free-to-use pricing model. If you are a SQL…
Are you in London, England and attending the Gartner Data & Analytics Summit? Why not drop by and see Actian at Booth #S4 where you can discuss the latest and greatest in databases, hybrid data, analytics, Internet of Things, and software innovation at the InterContinental London - The O2 from Sunday, March 18 through…
Interested in jolting your data analytics and database performance? Join Actian in two separate meetings this week in both Detroit, Michigan and Cambridge Massachusetts to talk about hybrid data, performance, analytics, and dataintegration: Tuesday, March 13: Come to the JOLT YOUR PERFORMANCE BREAKFAST between 7:30–9am at the award winning Apparatus Room Restaurant conveniently located…
