In an increasingly customer-centric world, the ability to capture and use customer insights to shape products, solutions, and the buying experience as a whole is critically important. Research tells us that organizations that leverage customer behavioral insights outperform peers by 85 percent in sales growth and more than 2..
While proponents of the data warehouse approach have pointed to the benefits of standardization, consistency, and control, critics lament that data warehouses can be slow, costly, and lacking in agility in response to change. This becomes more acute in rapidly changing environments or dynamic markets. With the growing and accelerating proliferation of data, some business users have begun to sound a drumbeat as they demand a more flexible and dynamic data environment that is responsive to their need..
In today’s complex business environment, organizations are generating more and more data and are increasingly concerned with using that information to make better decisions. Big Data is becoming one of the most important drivers of a company’s success. Some industries are experiencing great evolutions stemming from data and analytics, such as healthcare, retail, and financial services.read more »
In order for AI and big data to be successful, companies must combine them with business expertise and insight – making it something the C-suite can’t ignore. Read to know the 4 things enterprises must imbibe in their culture and processes to succeed in this race.Read the source article at Information Age..
When even your competition validates your new approach to analytics - In-Database analytics.
Why In-Database Analytics?
- Faster: Eliminates the time it takes to move large sets of data
- More Secure: Existing access rules evolved over months are preserved as-is
- Most Current Data: Analytics is always being performed on the most current data, avoiding inconsistency
- Cost Economics: No new..
Fuzzy Logix' COO Mike Upchurch talked to The Guardian about the challenges of weeding out the fake news from the true in this timely article.Read the source article at theguardian.com..
Milliseconds matter in the financial industry.
Lightning-quick insights, executed instantly, drive profits. The key is making smart decisions faster than the competition, and it all comes down to leveraging big data.
Faster analytics offer a big advantage. With conventional computing pushed to its limits, the financial industry is moving toward GPUs.
Some of the truly real-time analytics performed on GPUs for the Financial industry include fraud analysis, risk management and al..
Social, Mobility, Analytics, Cloud (or SMAC for short) is the new enterprise IT model that is disrupting the world. It is a genuine game-changer, and the organisations who are riding this wave most confidently are those which are embracing new technologies for future business...
Machine learning is a trending topic today and for good reason. It has enormous potential to transform entire markets and industries. But there’s also a lot of hype surrounding the technology. Let's look for four key characteristics that investors believe distinguish winners who are successfully leveraging machine learningRead the source article at VentureBeat..
Credit card companies are among the most data-savvy organizations in the world and they have been ever since their birth. The reasons for this are very simple and arguably the biggest one of these is the fact that credit card companies operate with enormous numbers of both credit card holders and merchants. In order for this machine to keep running the way it should and for it to keep making money for the credit card companies, it needs to rely on pure data. Learn how Big Data Analytics helps both ..