Metadata is more important now than ever. While new technologies enable business users to work directly with data, the consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined and […]
Category Archives: Data
Limitations of On-premise Database and New Opportunity To Modernize Cloud Data Warehouse
You have BIG Data. Growing varieties, volumes, and velocities of data can strain your database and existing BI processes. Trying to cope with these increases will unearth platform limitations that are not easily overcome and can be expensive to work around because legacy on-prem systems were never designed to handle the pressures of modern data […]
Will Database in the Cloud (DBaaS) meet your Business Growth Needs?
The demands on enterprises to improve time to market is driving firms of all sizes to move their databases to the cloud. Even companies used to rolling their own technology solutions are drawn to cloud databases. While DBaaS cloud offerings are gaining more traction as a solution for changing workloads and environments, that need to […]
Modernize IT Monitoring Event Analytics with Predictive Analytics
IT monitoring technology is moving forward rapidly, thanks in large part to machine learning and predictive analytics. If you’re still getting by with a legacy IT solution, you’re missing out on a lot more than a shiny object. The benefits of a New IT approach are being proven every day. Read on this article to […]
Effective Analytics to Improve Business Decision Making and ROI
What is keeping organizations from effectively using analytics? Enterprises of all kinds have invested in analytics to improve decision making and outcomes across the business – from product research and innovation to supply chain, customer experience, and risk management. But many executives believe that their analytics initiatives and investments aren’t yet paying off as they […]
How Machine Learning and Data Science Transform Marketing Automation?
The use of AI and Machine Learning is expanding in every area of our lives, and it surely will stand out as one of the most important technology trends of 2019. The adoption of AI in marketing is nothing new, but this area is still in development, so most probably we will witness an emergence […]
Alternative Data Automation Adoption for Investment Management and Financial Markets
From hedge fund managers to mutual funds and even private equity managers, alternative data has the power to improve valuation of securities and boost the clarity of the investment process. It enriches the structured data sets already acquired by investment management firms, fueling the potential for information advantage and providing a distinct differentiator in terms […]
Transforming Passive Data Catalog into Active Data Hub to Deliver Significant ROI
According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not.
Real-World Problems and Challenges for Artificial intelligence for IT Operations (AIOps)
Artificial intelligence for IT Operations (AIOps) is widely defined as the result of big data and artificial intelligence (AI) / machine learning (ML). It’s a framework designed to help CIOs master today’s dynamic IT landscape and answer questions such as: Where to place workloads for optimal performance and cost? How to connect apps to infrastructure […]
Keep SQL Server Estate Secure by Monitoring
With greater risks from attacks on your data systems like SQL Server becoming increasingly creative and sophisticated, high security demands from regulation, monitoring is becoming a key part of your data security, you need a monitoring solution that doesn’t just find known attacks, but spots general signs of improper access as well. Sometimes attacks are […]