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Big Data News, Events, and Expert Opinion


Understanding Big Data: Analytics

Understanding Big Data AnalyticsFollow @DataconomyMedia So far in the “Understanding Big Data” series, we’ve looked at what “big data” actually means; what the big data landscape looks like; and some of the infrastructural approaches you might look into when you’re taking the first tentative steps away from the data warehouse. In this edition, we’ll be examining different analytics platforms- how they work, what opportunities they offer enterprises, and how they differentiate themselves from their competitors. Around the turn of the millennium, most enterprises had turned to modern business applications to offer them insights. Companies had been implementing CRM and ERP systems to capture data, and the rise of  parallel processing techniques made data storage and processing cheaper and quicker than ever before. But garnering this data was not, in itself, helpful- this data…

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Three Forecasts You Should Know: Big Data, Business Intelligence & Analytics

7382239368_ba418d5b73_zFollow @DataconomyMedia (Big Data) Hadoop Market Expected to Grow 25x by 2020: According to a report by Allied Market Research, the global market for Hadoop along with related hardware, software and services is expected to grow at a Compound Annual Growth Rate (CAGR) of 58.2 percent between 2013 and 2020. In 2013, the global Hadoop market accounted for approximately $2 billion in revenues and is estimated to increase by $48.2 billion over the next 7 years. Moreover, Asia-Pacific is forecasted to emerge over the next seven years, “with a compound annual growth for the region pegged at 52.9 percent.” (Read the report here: Allied Market Research) (Business Intelligence) Global BI Market Set to Reach $20.81 billion by 2018: Redwood Capital released a report in April forecasting the global business intelligence…

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The Big Three for 2014 — Cloud, Mobile and Big Data

14327910926_beed7df259_zFollow @DataconomyMedia In this article, I’m going to suggest three spaces that enterprise-class organizations should invest in over this year. The basis of these suggestions are as follows: Reduce operational costs over the long term Shift funds from operations to investment Orient the company for changes in the compute landscape Accelerate the ability to manage change Lofty goals from a guy who can barely balance a checkbook, but I hope the reasoning I propose resonates with you. One downside is that I do not consider NPV in my suggestions; even if I could come up with a generalized formula to accommodate this overwhelmingly important factor (which I can’t), it still wouldn’t do any good. These suggestions are designed to change your posture to the marketplace, not assure return on investment…

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The History of BI: The 1960′s and 70′s

9373694210_a70c9ab4cf_zBusiness intelligence, or BI as it is commonly referred to, has gained considerable popularity over the past decade. Although the term was first introduced in 1865, and picked up momentum in the mid-late 1980’s, it was only up until the early 1990’s that the phrase entered public discourse. Now it is widely deployed among business users across all industry verticals – including retail, ecommerce, healthcare, banking, hospitality, and even sports. In this three-part series, we will look at the history of BI by decade – starting with 1960’s and 70’s, all the way through to the turn of the millenium – to analyze both how the term has evolved, and where it might be heading. The History of Business Intelligence Historically, information has been an unavoidable ingredient in the quest…

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ThoughtSpot: Looking to Make BI “Google Easy”

2808468566_dc22dede4b_zFollow @DataconomyMedia ThoughtSpot, a business analytics company aiming to revolutionise the way organisations do business intelligence, announced $30 million in Series B funding yesterday. The funding round was led by Khosla Ventures with participation from existing investor Lightspeed Venture Partners. ThoughtSpot’s aim is to make searching for enterprise data “Google easy.” Essentially, once the product is implemented, users can search within a structured database and find answers to specific problems, which can then be turned into custom dashboards. “What we’re trying to do is make life for average people in the enterprise very easy when it comes to accessing data,” said Ajeet Singh, co-founder and CEO of ThoughtSpot. “It’s a database we built from scratch,” Singh continued. “When we talk about ‘Google easy,’ it’s not just ease of use but…

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Interview with Brian Gentile, CEO of Jaspersoft

TIBCO Jaspersoft Recognised as a Top Big Data VendorWe spoke with Brian Gentile, the CEO of Jaspersoft, ahead of the new release of TIBCO Jaspersoft’s 5.6 Platform. Version 5.6 of the Jaspersoft BI platform is designed to help more business users become capably analytic, with advances in key areas such as Big Data connectivity, platform performance, analytics and reporting. Follow @DataconomyMedia Earlier this month, TIBCO Jaspersoft’s 5.6 platform was announced. Can you tell us more about this release? Absolutely. We have added a number of new features to our server and our recording tools and this is one breakthrough that we are very excited about. So let me just describe what’s in the new version. It’s about improved big data connectivity and about genuinely using big data in a way that makes it small and malleable. There are a…

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