Business leaders still need to gather and analyze data, make decisions, and implement them well.
New Big Data tools leveraging technology such as Apache Hadoop can process and analyze high volumes of data at reasonable costs, creating business intelligence that companies can use for competitive advantage.
FORBES: Information Governance Even More Important In The Era Of Big Data
That possibility spells lots business opportunities, from developing software to collect, analyze and present data to creating ads and other content that target a captive audience.
Until recently, the cost to store, access and analyze big data was so high that only government and a few business models could justify the cost.
Hadoop has arrived as a force in the business computing landscape because it offers people the ability to store and analyze data at scale for an affordable price.
Five sessions explore in various ways the extraordinary potential for the transformation of business and how we live through our growing ability to aggregate and analyze vast data sets on just about anything.
As long as you have access to data through some data tool (like Tableau, Spotfire, Pentahoe, Splunk, Microstrategy, Business Object etc), you can download the data into excel to analyze.
However, 4 out of 5 of your business problems can be solved by knowing how to collect and analyze all of this data, and get it to your people to allow them to make smart decisions which will impact your customer relationships.
The business challenge comes when Christmas falls on a Saturday, and they need to analyze data from seven years back to understand specific patterns.
When it comes to business information, it is not only about building better systems to collect and analyze data, but also to seek out sources that can add insight to that data.
FORBES: Business Intelligence Begs The Need For Collaborative Capabilities
The three big trends and business opportunities of the last few years are all about new ways to generate, capture, and analyze data.
Unlike business intelligence systems using data warehouses, you did not have to know what how you were going to analyze the data when it arrive.
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