Budget Strategies for Maximizing Big Data – Idexcel Big Data Roundup

1. Budget Strategies for Maximizing Big Data

Big data doesn’t necessarily come with a big pricetag. Here, an expert offers his tips for using big data on a small budget.

Got an operational problem?

Big Data will solve it! Marketing ills? Ask Big Data! Those two words have become a catchall — but data-crunching services tend to chase after enterprise-level businesses, making them out of reach for most small businesses. (Google Analytics Premium, for example, starts at $150,000 a year.) Don’t worry: Martineau says that with a strategic approach to Big Data, anyone can afford it. Continue reading…

2. Hadoop Overview: A Big Data Toolkit

Big Data isn’t new. Forbes traces the origins back to the “information explosion” concept first identified in 1941. The challenge has been to develop practical methods for dealing with the 3Vs: Volume, Variety, and Velocity. Without tools to support and simplify the manipulation and analysis of large data sets, the ability to use that data to generate knowledge was limited. The current interest and growth in Big Data, Data Science, and Analytics is largely because the tools for working with Big Data have finally arrived. Hadoop is an important piece of any enterprise’s Big Data plan. Continue reading…

3. Mendix Low-Code Mobile Dev Platform Connects IoT, Big Data and Machine Learning

Mendix today announced a new version of its low-code mobile development platform, designed to help developers build “Smart Apps” with connectors to accommodate emerging trends such as the Internet of Things (IoT), Big Data and machine learning (ML). Continue reading…

4. Marketing Technology Vendors Offer Big Success with Big Data

As you’re probably already aware, the marketing technology vendor landscape is amazingly vast. Scott Brinker, editor of chiefmartec.com, shares that in 2016 there are at least 3,874 vendors hawking their wares in the marketing technology space. And every single one of them uses data.
To that end, following are four examples of marketing technology vendors using big data effectively: Continue reading…

5. Role of Risk Audits: How the Cloud & Big Data have Changed Them

The role of auditors has been changing rapidly over the past decade. Big data is allowing them to make higher quality decisions. However, their job is also becoming more complicated, so future financial auditors will need a strong background in IT. Continue reading…

Top 10 Big Data Articles You Must Read Today

1. Big Data: Now A Top Management Issue For 2016

A new study by the Economist Intelligence Unit shows how big data is moving from its infancy to a “data adolescence,” in which companies are increasingly meeting the challenges of a data-driven world.

The report, called “Big Data Evolution,” details the ways in which companies’ attitudes and activities have changed over the past four years with regards to big data — collecting it, storing it, analyzing it, and using it to make business decisions about strategy. Continue reading…

2. 6 Predictions For Big Data Analytics And Cognitive Computing In 2016

Big data analytics is the next trillion-dollar market, says Michael Dell. IDC has a more modest and specific prediction, forecasting the market for big data technology and services to grow at a 23.1% compound annual growth rate, reaching $48.6 billion in 2019. Continue reading…

3. 7 Important Big Data Trends for 2016

It is the end of the year again and that means it is time for the Big Data trends for next year. I did that for 2014, I did it for 2015 and now it is time for 2016. What is awaiting us in 2016? Which Big Data trends will have an impact on the global Big Data domain? How will Big Data affect organizations in 2016? Let’s have a look at seven of the most important Big Data trends for the year 2016. Continue reading…

4. Lack of Big Data Talent Hampers Corporate Analytics

A shallow talent pool of skilled workers to analyze big data, combined with the challenge of weeding out bad information, continues to cause nightmares for CIOs.

kalid khan at kearney Khalid Khan, partner at A.T. Kearney.
Two-thirds of companies that possess even the most advanced analytics capabilities cannot hire enough people who can generate insights from corporate data, according to new research from A.T. Kearney, which surveyed 430 senior executives. Moreover, companies will need 33 percent more big data talent over the next five years, says Khalid Khan, A.T. Kearney partner and co-author of the research. Continue reading…

5. Big Data Still Requires Humans To Make Meaningful Connections

Big data is a big deal, make no mistake about it, but it’s probably not as big a deal as it’s going to be eventually when we really figure out how to make good use of it. For now, we have this muddled middle where we understand the value of the data, but most organizations and governments don’t know how to use that data to its full potential. Continue reading…

6. The 10 Coolest Big Data Products Of 2015

The big data technology market remains one of the fastest growing segments of the IT industry. In November, market research firm IDC said the market for big data-related infrastructure, software and services will grow at a compound annual growth rate of 23.1 percent through 2019, with spending reaching $48.6 billion in 2019. Specifically, sales of big data software are expected to grow at a CAGR of 26.2 percent during that span. Continue reading…

7. Where Does Big Data Fit Into Marketing?

Where does your big data fit in to your marketing? This is a very tricky question. Of course you want to capture customer information as much as possible so that your marketing team can be much smarter about the method they use to communicate to prospects and existing customers. BUT, marketers first need to decide if the brand wants them to create a sales promotional strategy or a brand building strategy. Continue reading…

8. Misconceptions Regarding Big Data And Why It’s Important To Clarify Those?

There is a lot of hype around big data, and this, to a certain extent is harmful for businesses. Sounds shocking? Well, since there are so many articles, research reports and studies about big data, people are provided with more than enough information, and this, somewhere down the line, makes big data look too easy to understand. This is where all the problems begin since even before knowing the original features and characteristics of this new phenomenon, people start assuming a lot. As a result, a lot of misconceptions get generated. Continue reading…

9. Big Buzz About Big Data: 5 Ways Big Data Is Changing Finance

Big Data is a big deal… particularly for financial markets. As the CEO of a Big Data company, I’d like to share with you some insights into this shift, which is spurring transparency, capital availability and better risk awareness. Add in the coolness and creativity factors – more Sand Hill Road, less Wall Street – and it’s clear that Big Data is already having big impacts on always-changing financial markets. And this is change that you, not just your IT professionals, should believe in. Continue reading…

10. Where Mobile is Failing: Big Data

Big data has been a big buzzword in advertising for several years now. Alas, for many mobile advertisers, it remains just that: A buzzword and not something they’re actually using to better target their ads or focus their media plans. That’s according to a new study conducted by Forrester Research and real time ad bidding platform AdTheorent. Continue reading…