01. Kate O'Neill, HPE, visits #theCUBE!. (00:20)
02. Antoine Chambile, ActiveViam, visits #theCUBE. (00:36)
03. The Necessity for Real-Time Business. (01:08)
04. The Background of ActiveViam. (02:36)
05. InMemory Analytics: When Spark is Not Enough. (03:48)
06. Accessing and Assessing in Real-Time. (05:40)
07. HPE Providing Scale-Up Technology. (07:40)
08. The Secret Sauce of ActiveViam. (09:43)
09. ActiveViam's Presence at HPE Discover 2016. (10:43)
10. The Mission-Critical "Renaissance" and SAP Hana. (11:54)
11. The HPE Machine: A New Pool of Memory and Processing. (14:18)
12. Protecting Data in a New World of Analytics. (16:00)
Track List created with http://www.vinjavideo.com.
--- ---
Upgrading business analytics to a real-time standard | #HPEDiscover
by NELSON WILLIAMS
The business that moves first, wins. When it comes to customers, most businesses only interact at a transaction. The customer does what they came to do and moves on. This is a very narrow window for a company to earn the customer’s trust and satisfaction. Real-time analytics at the point of transaction let a company take action during that window to keep the customer coming back.
Dave Vellante (@dvellante) and Paul Gillin (@pgillin), co-hosts of theCUBE*, from the SiliconANGLE Media team, visited the HPE Discover EU conference in London to learn more about the intersection of analytics and transactions. (*Disclosure below) There, they sat down with Kate O’Neill, marketing director, DCIG, at Hewlett Packard Enterprise Co., and Antoine Chambille, global head of research and development at ActiveViam.
Mission-critical workloads in real-time
O’Neill opened the conversation by describing the need for real-time analytics. In the mission-critical solution business, HPE focuses on two workloads, the transaction and analytics, she stated. HPE has developed solutions to handle the availability and scale of those workloads. Now, there’s a necessity for real-time business. “There’s no longer that luxury of time,” she said.
Chambille then added his own opinions to the discussion. Analytics and calculations have been disappointing for the business user, Chambille felt. The user would like to calculate on the fly, right now, not tomorrow. Batch-oriented technologies, which often take hours or days, go against the aspirations of the business user, he pointed out.
Data in the right hands, right now
Traditional business practice is to process data in large batches and warehouse it. This leaves departments starved of what could be vital information. O’Neill spoke to this. It’s changing because businesses can only compete if they behave in real-time, she mentioned. There’s a business need for these companies to integrate analytics with transactional data, she added.
“How HPE satisfies the customer’s need for analytics will be based on the solutions we and our partners can bring,” O’Neill stated. In the transaction space HPE has focused on, these workloads require scale-up technologies to handle the volume of data. “You need a degree of specialized solution design to handle it,” she said.
#HPEDiscover
#theCUBE
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Kate O’Neill, HPE & Antoine Chambile, ActiveViam - #HPEdiscover - #theCUBE
01. Kate O'Neill, HPE, visits #theCUBE!. (00:20)
02. Antoine Chambile, ActiveViam, visits #theCUBE. (00:36)
03. The Necessity for Real-Time Business. (01:08)
04. The Background of ActiveViam. (02:36)
05. InMemory Analytics: When Spark is Not Enough. (03:48)
06. Accessing and Assessing in Real-Time. (05:40)
07. HPE Providing Scale-Up Technology. (07:40)
08. The Secret Sauce of ActiveViam. (09:43)
09. ActiveViam's Presence at HPE Discover 2016. (10:43)
10. The Mission-Critical "Renaissance" and SAP Hana. (11:54)
11. The HPE Machine: A New Pool of Memory and Processing. (14:18)
12. Protecting Data in a New World of Analytics. (16:00)
Track List created with http://www.vinjavideo.com.
--- ---
Upgrading business analytics to a real-time standard | #HPEDiscover
by NELSON WILLIAMS
The business that moves first, wins. When it comes to customers, most businesses only interact at a transaction. The customer does what they came to do and moves on. This is a very narrow window for a company to earn the customer’s trust and satisfaction. Real-time analytics at the point of transaction let a company take action during that window to keep the customer coming back.
Dave Vellante (@dvellante) and Paul Gillin (@pgillin), co-hosts of theCUBE*, from the SiliconANGLE Media team, visited the HPE Discover EU conference in London to learn more about the intersection of analytics and transactions. (*Disclosure below) There, they sat down with Kate O’Neill, marketing director, DCIG, at Hewlett Packard Enterprise Co., and Antoine Chambille, global head of research and development at ActiveViam.
Mission-critical workloads in real-time
O’Neill opened the conversation by describing the need for real-time analytics. In the mission-critical solution business, HPE focuses on two workloads, the transaction and analytics, she stated. HPE has developed solutions to handle the availability and scale of those workloads. Now, there’s a necessity for real-time business. “There’s no longer that luxury of time,” she said.
Chambille then added his own opinions to the discussion. Analytics and calculations have been disappointing for the business user, Chambille felt. The user would like to calculate on the fly, right now, not tomorrow. Batch-oriented technologies, which often take hours or days, go against the aspirations of the business user, he pointed out.
Data in the right hands, right now
Traditional business practice is to process data in large batches and warehouse it. This leaves departments starved of what could be vital information. O’Neill spoke to this. It’s changing because businesses can only compete if they behave in real-time, she mentioned. There’s a business need for these companies to integrate analytics with transactional data, she added.
“How HPE satisfies the customer’s need for analytics will be based on the solutions we and our partners can bring,” O’Neill stated. In the transaction space HPE has focused on, these workloads require scale-up technologies to handle the volume of data. “You need a degree of specialized solution design to handle it,” she said.
#HPEDiscover
#theCUBE
