Hadoop Bigdata
In today’s competitive environment, from retail to healthcare, real estate to agriculture, and finance to telecom, sports to healthcare, and energy to utilities there are several industries harnessing the power of big data to create value from the increasing flood of data generated. With tons of industries using big data to convert the growing influx of data into useful Leap It Global Solutions and gain competitive advantage in the big data evolution-big data is making waves in almost every sector.
How big data helps businesses?
Companies using big data excel in sorting the growing influx of big data collected, filtering out the relevant information to draw deeper Leap IT Global Solutions through big data analytics. Businesses use big data analytics to target and retarget the right customers by providing personalized experiences, solve their problems and build products or services based on their needs. Business can generate huge ROI with big data –however, only with actionable Leap IT Global Solutions.
Businesses are relying on Big Data to gain a competitive advantage and data analysis has become a corporate priority. Among the Fortune 1000 firms surveyed by New Vantage, 62.5% reported having Big Data initiatives in production or operationalized across the enterprise. While only 5.4% of firms reported Big Data investments in excess of $50 million in 2014. The number of firms that project investments in Big Data of greater than $50 million leaps to 26.8% by 2017, a steep and rapid increase.
"Business leaders are taking a more active role in information and analytics projects as awareness of the value of data-driven decision making grows," says Nick Heudecker, Research Director at Gartner. He also added that businesses typically have multiple goals for big data initiatives, such as enhancing the customer experience, streamlining existing processes, achieving more targeted marketing and reducing costs.
Driving Leap IT Global Solutions from Big Data in business for success depends on focusing and analysing various sources of business data. The major sources of business data can be divided into:
Operational: This data includes the metrics that calculates the quality of business processes that come from various sources - from hardware resources to call center interactions.
Financial: This data provides the metrics on the financial health of the company. According to Eric Simonson, managing partner for research at Dallas-based Everest Group, for the Financial sector, the big data analytics opportunity is more about processes where operations and finance intersect and generate lots of data, or can be appended with external data to generate Leap IT Global Solutions.
Constituency: This category includes the data about the employees and partners. It includes the employee's data that ranges from performance histories, survey results to salaries.
Top 10 Industries Using Big Data
In today’s competitive environment, from retail to healthcare, real estate to agriculture, and finance to telecom, sports to healthcare, and energy to utilities there are several industries harnessing the power of big data to create value from the increasing flood of data generated. With tons of industries using big data to convert the growing influx of data into useful Leap IT Global Solutions and gain competitive advantage in the big data evolution-big data is making waves in almost every sector.