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New Frontiers in Business Intelligence

Nari Kannan

Couldn't you all just Remember it? The Rise of In-Memory Business Intelligence

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In-Memory Business Intelligence is rapidly changing the way users view their BI reporting tools. With the costs of processing power and memory in a steady free-fall the past decade or so, and with the rise of inexpensive 64-bit computer architectures, In-Memory BI is fast rising!

Inexpensive machines were all mostly 32-bit so far, like PCs. These days 64-bit architectures, servers and even desktops are fast replacing these older machines. It's a simple binary arithmetic truism that you can address a lot more locations in memory with 64 bits of address space than with 32-bits of address space!

Multi-dimensional cubes have been very useful in BI for a long time but they have been a royal pain in deciding ahead of time, what the dimensions need to be and updating the cells as the transactions are flowing in. Then you can get your reports sliced and diced - say Region-wise, Zone-wise, City-wise and then SKU or SKU first and then Regions, Zones and Cities. These are two very different reports providing very different information for you if you have used these in practice! But you were limited to the ways you organized your cubes upfront. What's better than organizing them at run-time when you need the reports? That's a lot fo flexibility you did not have before!

The problem with many of these kinds of approaches is that it is very difficult to predict these ahead of time. Sometimes you may come across some demographic information recently. You want to analyze this data in conjunction with your own Point of Sales data!

In-Memory BI tools and approaches allow the user to combine these kinds of ad-hoc analyses as they go without a lot of time-consuming set up in the background initially.

Still, it may not be possible to do In-memory Business Intelligence in every case. If some company has terabytes of just Point of Sale data, it will be futile to attempt in-memory BI in this case.

But the other 99.99% of businesses and reporting needs can easily be a better fit for in-memory BI than the traditional, build a data warehouse, populate and then report models of the past couple of decades.

In-memory BI combined with Visualization can very greatly enhance the ability of management to understand what is happening and base their decisions on that clearer understanding.

BI is fast changing and the rise of In-memory BI is a pivotal force in this change!

God gave us memory so that we might have roses in December - James Matthews Barrie


Nari Kannan's blog explores how new approaches to business intelligence can help organizations improve the performance of business processes--whether these processes are creative or operational, internally-focused or customer-facing, intra-departmental or across functions.

Nari Kannan

Nari Kannan started and serves as the CEO of appsparq, a Mobile Applications development company based in Louisville, KY with offices in Singapore and India. Nari has over two decades of experience in computer systems development, translating product and service strategy into meaningful technology solutions, and both people and product development. Prior to this, he has served as both Chief Technology Officer and Vice President- Engineering in six successful startups, two of which he co-founded. He has proven experience in building companies, engineering teams, and software solutions from scratch in the United States and India. Prior to this, Nari started Ajira Technologies, Inc., in Pleasanton, CA, where he served as Chief Executive Officer for more than six years. While at Ajira, Nari was instrumental in developing service process management solutions that modeled, monitored, and analyzed business processes, initially targeting the Business Process Outsourcing (BPO), Telecom, and Banking verticals in India, and Finance, Insurance, and Healthcare verticals in the United States. Prior to this, he served as VP-Engineering at Ensenda, an ASP for local delivery services. He also served variously as Chief Technology Officer or VP-Engineering at other Bay-Area venture funded startups such as Kadiri and Ensera. He began his career at Digital Equipment Corporation as a Senior Software Engineer. Nari has a long involvement with Customer Support and other customer facing processes. At Digital Equipment Corporation he was involved with their 1800 person customer support center in Colorado Springs, Colorado. He was tasked with coming up with innovative tools to help customer support people do their jobs better. He holds a U.S patent for a software invention that automatically redirected email requests for customer support to the right group by digesting the contents of the request and guessing at which software or hardware support group is best equipped to handle it. At Ensera, he led a 45 person team in developing an internet based ASP service for handling auto insurance claims, coordinating information flow between end-customers, Insurance companies, Repair shops and Parts suppliers. Ensera was acquired by Mitchell Corporation in San Diego. Nari holds a B.S. degree in Physics from Loyola College, and an M.B.A degree from the University of Madras in Madras, India. He graduated with a M.S. degree in Computer Science from the University of Massachusetts at Amherst in 1985. Contact Information: Nari Kannan. Email: nari@appsparq.com Mobile: 925 353 0197. Website: www.appsparq.com View more .


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