Big Data Analytics Industry Solutions
Applications of Visual Data Analytics in Business
In their book Competing on Analytics, authors Davenport and Harris tell the story of Netflix and its seemingly unlikely rise and triumph over Blockbuster Video. They characterize Netflix as a prominent example of companies that compete “on the basis of [their] mathematical, statistical and data management prowess.”
Today, all companies need to compete on analytics if they want to survive. Doing that requires navigating a pretty complex and fast-moving data ecosystem.
That ecosystem — the big data ecosystem with its volume, variety, and velocity — has spawned a glut of technologies for extracting insight from structured and unstructured information. So, big data has forced organizations to think differently about how they architect their analytics in response to the changes in data.
Leading-edge companies are setting a high bar for all of us who inevitably follow. See how they leaned into big data, streaming data, and multisource analysis to compete and win in their industries.
Zoomdata’s modern approach to BI and data discovery has enabled us to give our scientists an immense analytic advantage by fusing data together across our big data and search data platforms.
Mark Ramsey, Chief Data Officer
GlaxoSmithKline
Learn more about industry solutions
Financial Services
Find insights faster from big data -- without compromising security or data privacy
Financial services institutions (FSIs) hold a lot of data on their customers — more than virtually any other type of business.
The problem is that data silos, privacy issues, varied data formats, and overwhelmed IT departments can hold data hostage for so long that by the time they’re identified the data is no longer relevant.
Healthcare & Pharma
Explore, interact with, and extract insights from data in a highly regulated industry
The healthcare and pharmaceutical industries have access to huge volumes and varieties of big and real-time data.
Healthcare payers, providers, and the organizations that support them however, often don’t have access to big data analytics software that allow them to visually explore, interact with, and extract insights from all that data.
Telecommunications
Get the most from real-time data to drive revenue up and costs down
Mobile data usage is projected to grow 49 percent by 2020. Yet projected revenue growth is only 2.1 percent in the same period.
To keep pace with demands on its networks, the mobile industry is looking at CAPEX increases of as much as $700 billion over the next three years.
Operators need to find new revenue streams for their network data and opportunities to minimize expenses and waste.
