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 […]

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 […]

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 […]

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 […]

Mistrust in the Number – Potential Global Scale of Financial Data Inaccuracies

What keeps C-suite executives and finance professionals awake at night? Is it the thought of new tax regulation, the next round of investor meetings — or something even more fundamental? Are the numbers right? Given the many recent high-profile examples of what happens when financial data isn’t accurate (for whatever reason), wondered how senior executives […]

How to Scale Data Quality For Analysis?

Siloed data sources, duplicate entries, data breach risk—how can you scale data quality for ingestion and transformation at big data volumes? Data and analytics capabilities are firmly at the top of CEOs’ investment priorities. Whether you need to make the case for data quality to your c-level or you are responsible for implementing it, the […]