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Post Tagged with: Big Data Companies

Be Smart With Big Data

Be Smart With Big Data

smart dataSome companies get scared of big data. They think that since data is inherently dumb, a lot of it would be dumber still. But by being smart about big data, analysts can make sure that they get the most out of it. Handling big data can be a security risk and needs to be handled smartly.

The Present Way of Doing Things

Usually companies have one of three ways to handle data. They either go with the Heroic Model in which individuals take charge of requests and make decisions on their own without consulting with others. This model can work well for small businesses where individuals are usually aware of most situations across all areas of the business. But in bigger businesses, it can lead to confusion and chaos.

The Culture of Discipline on the other hand is one where individuals don’t make any decisions and follow a set of rules set by the management. Employees in this model can’t use data for their own decision making and just have to follow the processes set up for them.

The best way to handle data is to have a Data Smart Model in which data is managed on an evidence based management system. It is a combination of the first two methods and it works on a disciplined processing method but decision making is allowed at the individual level. This is the method that should be used to handle big data and it can result in smooth operation without much hassles.

How to Cultivate the Data Smart Culture

Certain steps need to be taken to create the data smart culture.

  • There should be a single source of truth. Decision making can be moved to the employee level but the guiding principles should be set from a single source.
  • Use ways to keep track of progress. Using a scorecard system, even on a daily basis, can help managers across different branches know how they are performing in relation to the other departments and they can then send in better data to record their progress.
  • Rules are important but there should be enough flexibility. Rules and guiding principles are needed but there should be flexibility to know when to bend the rules and when to break them. Sometimes what works in most parts of the country might not be best for a certain area. Businesses need to be able to adapt to such situations and change their rules accordingly.
  • Work on cultivating human resources. The people are the biggest asset of a company and it is important to educate them and provide them with the proper know-how to handle data. Managers need to be trained to educate the people working under them and give them a one to one engagement.

These steps can help businesses handle big data smartly and without much confusion. Every level needs to be trained to handle big data as the future is going to be all about big data.

IT Companies Should NOT Hesitate to Milk Big Data

IT Companies Should NOT Hesitate to Milk Big Data

Big Data is being utilized by businesses in every field to answer questions and predict the future with more reliability than the traditional methods that were used before big data analytics came along. It is surprising that IT isn’t utilizing big data as much as they should.

IT, like most other businesses, needs to predict the future in terms of surprise requirements, new opportunities and threats and worst case scenarios. A lot of these questions can be answered by using big data analysis. All parts of IT; operations, security, customer service, forecasting etc. can benefit by using big data.

IT has access to a lot of data in terms of logs, traces, emails, counters, feedback, polls etc. that it can use to solve critical problems related to predicting future scenarios.

Big data

The Usual Solution

The solution that IT has been using till now is to purchase packaged applications for their services and in case of a unique solution, they tend to integrate their own solutions to the applications with the help of their unique business know how.

The new idea is to use all the data collected, both internally and externally and apply big data analysis to it to move on to the next level.

It’s Already Started

A few IT companies have already started utilizing big data because they see the potential behind it. EMC IT is using big data to analyze their data and predict potential issues with their app delivery system.

Some companies are starting to use the huge amount of data they have collected for security. Already certain applications exist that analyze security data but by creating their own applications companies can come up with better solutions for their unique security requirement.

Companies can also use big data to forecast how much money they’d need to spend in the coming year on upgrading their capacity to store, compute and analyze data.

IT Always Leads the Way

It has been seen that the IT is always the one that takes on new technologies and systems and gains enough domain expertise in the area to help other branches of business later.

The data already exists and the tools for analysis of this data also exist. It’s just a matter of time before all IT companies start using big data in new and creative ways to solve unseen problems and predict the future. It is easy to get started and a lot of money is not required to get into big data. We are going to see a game changing utilization of data in the near future, just as soon as the IT sector wakes up and smells the data.

7 Big Names in the Big Data World

7 Big Names in the Big Data World

The big data world is not only a territory accessible to big and well established database and data warehouse companies today. The pure-play big data startups too are emerging as innovative thinkers, creative and technically sound enough to create a buzz in the marketplace.

Anyhow, in this post, we’re going to talk about the big shots in the game.

Big Names in the Big Data Industry -2013

Here’s the list of 7 BIG Names in the Big Data World:

IBM

The biggest Big Data Vendor as per 2012 revenue figures, IBM raised about $1.3 billion from the Big Data related services and products, according to the reports submitted by Wikibon. The product range of IBM includes a warehouse that has its own unique built-in data mining and cubing capacity.  Also, its PureData systems include packaged analytic integration feature.

Best known products of IBM include DB2, its unique warehouse-InfoSphere and Informix database platforms, SPSS statistical software, designed to support real time predictive analysis and Cognos Business Intelligence application with its big data platform capabilities.

Oracle

Famous for its flagship database, Oracle is amongst the big players in the Big Data space. The total revenue generated by Oracle in 2012 was approximately $415 million, making it the fifth biggest Big Data vendor for the year. The Big Data Application of Oracle combines with Intel Server, Oracle’s NoSQL database and with Cloudera’s Hadoop distribution.

Oracle has a wide range of tools to compliment with its Big Data Platform known as Oracle Exadata. These tools include the Advanced Analytics via the R Programming language, along with the in-memory database option with Oracle’s Exalytics in memory machine and data warehouse of Oracle.

Splunk

Specializing in machine data analysis, Splunk had the biggest market share of all the Data vendors in 2012, with the total revenue of about $186 million, according to the Wikibon report.

Google

Google effortlessly made its place amongst the top 7 names included in the Big Data world. The Big Data offering of Google includes its BigQuery that is a cloud based Bid Data analytics platform. The Big Data related revenues generate by Google in 2012 were about $36 million, as per the Wikibon report.

10Gen

10Gen is best known for its leading NoSQL database, the open source MongoDB that is distinguished as the prime document oriented database. The MongoDB can handle semi structured information that is encoded in Java Script Object Notation (JSON), XML format. What makes it different is its ease of use, speed and its flexibility.

The list of 10Gen’s strategic investors includes Intel, In-Q-Tel and Red Hat. 10Gen was ranked third amongst the only Hadoop and NoSQL vendors last year. 10Gen generated about $36 million revenue in the year of 2012 according to the Wikibon report.

Hortonworks

Another big name in the Bid Data World is Hortonworks. A Hadoop vendor, Hortonworks received over $70 million venture capital investment after spinning off form yahoo in 2011. Hortonworks has its own certification courses with a legion of developers within its virtual box.

Hortonworks is going up exponentially against Cloudera and is known for its partnerships with Rackspace, Microsoft, Red Hat and other companies.

MapR

Best known for its NoSQL database M7, MapR works with Google Compute Engine and Amazon’s Cloud Platform. MapR was ranked fourth by the Wikibon report, amongst the Hadoop and NoSQL only vendors list last year. According to Wikibon, the total revenue generated by MapR in the year 2012 was about $23 million.