Big Data Analytics
This blog offers best practices and tips for companies looking toextract insight from internal data, plus today's most useful data from acrossthe Internet.
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How to harness Big Data in motion
Here are some of the technologies that companies need to look at if they want real-time big data analytics.
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With Big Data, what's better--qualities or quantities?
When selecting the data scientists that will fuel for your Big Data innovation and/or strategy, you must make sure you understand how they feel about research.
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Preparing enterprise applications for Big Data
Before dashing off RFPs for a Big Data initiative or signing purchase orders on fancy new hardware and software, consider the readiness of your Enterprise Applications.
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Building an analytics infrastructure around big data
The right big data infrastructure comes down to asking the right kinds of questions, and developing a suite of analytics reports that carry back business intelligence on both historical and real time levels.
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Unconventional uses of Big Data and predictive analytics
Will Kelly tells us about some unconventional uses of Big Data and predictive analytics that are happening across multiple industries.
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Big Data in your call center: Managing the numbers
The data collected by your call center software is huge and varied. But which metrics matter and how can you make changes based on those metrics?
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Hadoop: Expect enhanced performance soon
One by one, tech industry sectors and technologies are lining up with solutions that will continue to enrich Hadoop performance in the data center.
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Get a woman's touch on your Big Data team
If there's a gender imbalance on your Big Data strategy team, you're doing yourself a great disservice.
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Big Data velocity: Now is the time
Technologies are coming onboard now that will help Big Data velocity efforts with built-in business rules, automation, and new ways to store and access data. Now the time for businesses to map out their high velocity Big Data strategies.
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Three areas of concern for Big Data in the data center
Big Data is not just a tool for business analysis. it can also be a helpful tool to improve the data center.
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Big Data archiving should be more mission-critical
Sites should be planning for ready and painless user access (without IT intercession) to relevant historical information, as well as split second access to data that has been newly created.
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To get Big Data buy-in, IT should let go of proof of concept
If your company is currently experimenting with Big Data in an attempt to prove some sort of concept--interrupt this right away. If you're going to prove something--it better be value.
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Does data center co-location make sense for Big Data?
Mary Shacklett discusses whether you should consider a co-lo for big data analytics and high performance computing.
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Goldilocks and the three business analysts
John Weathington has some suggestions for you when you're surveying the landscape of business analysts to augment your team of information specialists.
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How Big Data changes the game for non-profits
Big Data projects for non-profits are providing answers to problems that were previously considered to be almost insurmountable.
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Big Data defined
If you are a leader, how you define big data has important implications on your subsequent strategic decisions.
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Big Data: Don't spend money just to produce trivia
In all this sound and fury about Big Data, it's easy to forget that its actual intent is to help make a decision.
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Big Data events and webinars
Here are three events coming up that will help you learn what you'll need to know to effectively tackle Big Data in your organization.
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Big Data evolution depends on asking the right questions
As we develop experience with Big Data, more organizations will opt to ask their own questions for what they hope will yield greater returns. Here's an example how this can unfold.
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Big Data in 2013 - Now that we have our feet on the ground
Mary Shacklett takes a look at what IT can expect now that it has another year of Big Data under its belt.
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Big Data is not just about the customers
Even if you have great ideas for how to use your Big Data once you have it in place, have you considered where this data will come from?
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Big Data: Is that your final offer?
When deciding your customer offering, you should consider products, services, and relationships; in each case, Big Data can play a big role.
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Big Data lessons enterprises can learn from the Cloud
Cloud solutions for the supply chain, where the approach to data gathering and data sharing has been nothing short of revolutionary. Here's what those solutions can teach us about Big Data.
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Big Data: Moving from strategy to tactics
Big Data, which comes into the enterprise unstructured and unorganized, first needs to be "prepped" so that it can be processed by a business analytics program. Here's what you need to do.
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Big Data projects signal change in documenting
Big Data projects especially in the beginning can mean having to change how your organization documents technology projects.
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Big Data: The perils of past performance
With Big Data especially, pundits and vendors imply that if we throw bigger and better data at a faster platform, we'll eventually be able to predict the future with near certainty. Here's why this is wrong.
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Big Data velocity: Now is the time
Technologies are coming onboard now that will help Big Data velocity efforts with built-in business rules, automation, and new ways to store and access data. Now the time for businesses to map out their high velocity Big Data strategies.
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Big Data's neglected topic: How to secure it
One of the last areas of concern to most new technologies is security. But it's relatively easy to price security and do an internal risk assessment to determine what level of security is appropriate for your Big Data initiatives.
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Can Big Data Analytics learn some lessons from fraud detection software?
Credit card fraud detection analytics has worked in banking-and its history yields lessons that should be applied to Big Data.
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Choosing a Big Data vendor
After establishing your core Big Data team in-house, it might be time to bring in an outside vendor for assistance. Will Kelly offers tips on choosing a Big Data vendor.