Izenda Embedded Analytics and Technology Blog

Sep 13
0

A Gimlet-Eyed View of Software as a Service

By | BI Innovation, Big Data, Technology

In computing days of yore, a company would buy a license for software and install it in their computer center, using vendor support and a team of systems programmers to get it up and running. In today’s Software as a Service paradigm, things work a little differently. There are clear benefits to SaaS, but also some important disadvantages to consider before moving to a SaaS application.

SaaS Benefits

The most obvious benefit is the IT cost savings realized when there is no longer a need to invest in data center and hardware infrastructure. A recent study by Computer Economics of seven businesses that employ cloud services found an average 15% savings. Lower upfront costs makes SaaS especially attractive for new businesses, which can start up and scale up faster and cheaper. And speed is another crucial benefit. Maintaining a service contract with a cloud provider means there is no time required for an infrastructure implementation and no need to hire and pay an IT staff to support it.

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Sep 11
0

Study Finds Businesses Are Responding Faster to Changing Technology

By | BI Innovation
Sometimes turning the battleship happens pretty fast. A recent study by IBM of close to 1,500 business executives has confirmed the rapid adoption by enterprises of cloud, big data and analytics, social, and mobile technologies. The study found that 70-75% of enterprises currently use, and intend to increase their investment in, these technologies. A mere two years ago the percentage of business leaders who rated these technologies as strategically important was only 66% – now the number stands at 75%. Read More

Aug 07
1

Embedded BI & Visual Analytics Provider Izenda Secures $3M

By | BI Innovation, Big Data, News & Events, Technology

Ethos Partners and Hawthorne Capital Raise Growth Equity Funding For Expansion

Izenda logo - Embedded self-service business intelligenceATLANTA, GA (August 7 2014) – Embedded BI, visual, analytics and self-service reporting software provider Izenda (http://www.izenda.com) has raised $3 million in a growth equity investment round led by Ethos Capital Partners and Hawthorne Capital. Izenda provides business intelligence visualization software for data discovery via an HTML5 model versus a developer-oriented, desktop-based environment. Current customers include Oracle, Infor, CDC, Volvo, US Navy, and Thomson Reuters.

“We are delighted to be backing Izenda in its continual efforts to accelerate and improve the highly accepted suite of BI and reporting products,” said Dr. Mark Bell, Partner at Ethos Capital. “Our customer interactions confirmed that Izenda provides an experience that is ahead of the trend of placing decision-making tools into the hands of decision makers.”

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Dec 19
0

Graduate Profiles: Izenda Brings the Power of Data to Businesses

By | BI Innovation, Technology

Featured on ATDC.org

Like many startup stories, Izenda began as a business concept drummed up in a college dorm room. The goal: to utilize agile methodologies and software to provide business intelligence to customers on a budget.

Founded in 2002 by Sanjay Bhatia, the company vision changed course a few years later when mounting frustration over the complexity of the industry’s leading reporting databases led to the pursuit of new technology. In 2006, Izenda unveiled and patented a web-based reporting solution that altered the way companies deploy and use intelligence. And the business has been gaining steam ever since. “I didn’t like how difficult the existing databases were to operate and analyze,” said Bhatia, CEO of Izenda. “The world was changing a lot faster than we were. You can’t spend 18 months working on data warehouse for a product that’s only going to be on the market for six months – so technology had to be more agile. That couldn’t be accomplished with the solutions available.” Read More

Dec 11
0

The BI Implications of Highly Customizable Data

By | BI Innovation, Big Data, Tips

As seen on TDWI.org

Although storage prices are dropping, you must still consider how your customized data set will work for self-service or ad hoc reporting, especially in a real-time environment.

Modern DBMS systems were designed in an era where someone was in charge of all data structures. A DBA, or sometimes a small committee of them, dictated what could be stored and how it should be structured.

At the time, data storage was unbelievably expensive by today’s standards. Imagine oil being $10,000 a barrel, and consider how carefully it might be controlled and utilized. In a world where billion-dollar companies could not even store as much data as you have on your cell phone, relational data structures represented efficient ways to store various types of data such as strings, dates and numbers in a structured way that enabled quick look-up through indexing.

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Sep 17
0

How Data Virtualization Delivers Access to Real-Time Data

By | BI Innovation, Big Data, Technology, The Cloud

As seen on TDWI.org

With so much data in so many places, how can you quickly connect to the sources you need? Data virtualization may be the answer.

In a world where yesterday’s data is like yesterday’s news and users are accustomed to finding out “what’s happening right now” via social media drive-by platforms such as Twitter, virtualization is quickly becoming the ideal data management strategy.

Traditional data integration requires building a data warehouse and moving enterprise data to it on a periodic basis. Today’s modern data virtualization capabilities connect directly to live databases and pull information “just in time.” This solution delivers real-time results without the costs and delays of a complex ETL (extract, transform, and load) project. Business users now accustomed to instant real-time access to data in their consumer lives expect the same experience from their enterprise systems. Generation Y employees who have accessed the Internet from an early age are often surprised that ETL technologies are used to move data to a data warehouse before it can be analyzed, so business reports are delivering yesterday’s data.

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May 05
0

Ten Reasons Traditional BI Fails

By | BI Innovation | No Comments

Abstract

This paper discusses 10 ways traditional Business Intelligence (BI) approaches fail to deliver value in today’s environment, and some simple alternatives that work. The goal of Business Intelligence is to provide right-time information to management and function as a decision support mechanism. Traditional Business Intelligence techniques have fallen short of this goal for one major reason: they are designed exclusively for very large scale deployments involving dozens or even hundreds of systems. Most databases today, however, reside on individual systems used by SMBs (Small and Medium-sized Business) or departments of larger organizations.

Summary

Traditionally, the Reporting and Analysis functions of Business Intelligence were deployed in large enterprises by first combining data from dozens or hundreds of systems.

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