White Paper: Intersec Group
The advent of open‐source technologies fueled big data initiatives with the intent to materialize new business models. The goal of big data projects often revolves around solving problems in addition to helping drive ROI and value across a business unit or entire organization.
It’s often difficult to launch a big data project quickly due to competing business priorities; the myriad of technology choices available as well as, the sheer size, volume, and velocity of data.
Key questions from this whitepaper:
What are the common questions and challenges that the operators are facing when starting a Big Data project?
What are the best practices to avoid being trapped in the ever‐lasting big data project that fails to generate any revenue?
Should the big data project be carried out by the IT department or should it be led by a dedicated organization, under a new function like a Chief Data Officer, distinct from traditional IT?
Building successful Big Data solutions is all about taking advantage of volume, velocity, variety and visualization through analytics and making it accessible to all. Building successful Big Data solutions is all about taking advantage of volume, velocity, variety and visualization through analytics and making it accessible to all. This Big Data whitepaper addresses queries like: Does your Big Data solution secure data out of the box? What are the big data opportunities and challenges from data analytics perspectives? What are the essential steps and mindsets you must consider when implementing big data solution for your business? How xPatterns helps in mitigating the challenges faced by the big data and advancing the insight? Explore this whitepaper on Big Data to learn more about: Building blocks of a successful big data deployment Advanced big data analytical tools and techniques Business opportunities to leverage Big Data through advanced analytics Lower the barrier of entry for any enterprises or application to take advantage of Big Data opportunities
Four undeniable trends shape the way we think about data – big or small. While managing big data is ripe with challenges, it continues to represent more than $15 trillion in untapped value. New analytics and next-generation platforms hold the key to unlocking that value. Understanding these four trends brings light to the current shift taking place from Big Data 1.0 to 2.0, a cataclysmal shift for those who fail to see the shift and take action, a catalyst for those who embrace the new opportunity. Key take aways from this white paper: 5 Advancements of Big Data 1.0 5 Challenges of Big Data 1.0 Big Data 2.0 – Transformational Value Big Data 2.0 Means Big Value Times Ten
What is Business Intelligence ?
Business intelligence is a technology-driven process in which variety of software applications are used to analyze organization’s raw data and presenting the information in actionable format so executives and business leads can make better decisions looking at them. Although business intelligence has some common functions, it includes three basic functions: data mining, data analyzing and data processing.
What is Big Data ?
Big data is the act of collecting huge amount of enterprise data that can be used for future analysis. Big data helps all kind of industry data to grow securely that includes government, banking, retail, education and healthcare. Big data stores all kind of data including structured, unstructured and semi structured data, which contains valuable information about core functions of an enterprise such as finance, marketing, procurement.
What is Big Data analytics ?
Big Data analytics involves the assembling, arrangement, and analyzes of enormous data sets with varying contents, to reveal or establish existing trends, relations, or patterns. Big data analytics requires tools for data mining, forecasting, optimization, and analysis. Enterprises involved in big data analytics receive insights not only on their companies functionalities but also on customer preferences and interactions