Big Data Big Reward Essay

Since the 1970’s databases and report generators have been used to aid business decisions. In the 1990’s technology in this area improved. Now technology such as Hadoop has gone another step with the ability to store and process the data within the same system which sparked new buzz about “big data”. Big Data is roughly the collection of large amounts of data – sourced internally or externally - applied as a tool – stored, managed, and analyzed - for an organization to set or meet certain goals.

This is one of the greatest challenge that is acting as a key barrier in widespread adoption and pervasive use of the tools fostering for development and progress in this field of study. The real time of the big data analytics would require some of the unique features and special computing powers and potentials (Gantz, 2012). Tools have to made specially advanced so as to incorporate process terms in real time (Chen, 2012). Every business oriented organization should be transformed into information centric (Kaisler, 2013) to focus upon the real time data analysis in terms of both input and output.

Meanwhile, data sharing is a large part of Boston’s efforts to improve the quality of life for their residents. And the City of Boston eagers to improve BAR from a data collection effort to a citywide performance management system accessible in real-time from any device. Big data provides an unprecedented opportunity to deliver improved services. It is a good chance to analyze large data sets, find the value of data and tell the story of the City of Boston in new way.

New organizations can leverage Big Data in such a way that it provides benefits that can prove valuable especially to an organization seeking to establish itself and grow. One of these benefits is faster and better decision making. Particularly with the analytics of Big Data, organizations have access to real-time data

In a fast paced, business ordinated technological world the overall welfare of a company is tied to the success or failure to make the tough decisions. On one instance a company’s CEO might be able to make the choices based on experience, advice, or simple gut instinct. However, this is not the only skill one needs. There is a great deal of information to be found in being able to see investments in data and analytics. These decisions are based off of big data. Big data is a catch-phrase, used to describe a massive volume of both structured and unstructured data that is too large to process using traditional database and software techniques. The volume of data is in most cases is too big, moves too fast or it exceed the processing capacity the company has. Despite these potential drawbacks, big data contains the potential to help companies by improving operations and making faster, more intelligent decisions. This can be broken into three key parts, knowledge, data, and information.

In your business, you have your own big data challenges. You have to turn heaps of data about various entities into actionable information. The reporting needs of institutions have evolved from simple single subject queries to data discovery and enterprise-wide analysis that tells a complete story across the institution. While the volume, variety and velocity of big data seem overwhelming, big data technology solutions hold great promise. The way I see it we can use this as one of the biggest asset for the company. We have the capacity to see patterns recounting in real time across complex systems. Huron is marshalling its resources to bring smarter computing to big data. With the Huron big data platform, we are enabling our clients to manage data in ways that were never thought possible before.

Big data and analytics are hot growth areas, not only for IT organizations, but for businesses across all industries.

The industry is inundated with articles on big data. Big data news is no longer confined to the technical web pages. You can read about big data in the mainstream business publications such as Forbes and The Economist. Each week the media reports on breakthroughs, startups, funding and customer use cases. No matter your source for information on big data, one thing they all have in common is that the amount of information an organization will manage is only going to increase; this is what’s driving the ‘big data’ movement.

Big Data is an outgrowth of the proliferation of databases and massive data sets. The insights needed to more intelligently manage an organization can be found in the myriad of data sets that comprise a Big Data platform. The greatest challenge of Big Data is contextual intelligence supported by integration to legacy, 3rd party and homegrown application systems located throughout an enterprise (Jacobs, 2009). To get ot his level of proficiency in analyzing Big Data sets and databases, enterprises need Business Intelligence (BI) and analytics tools that can parse through terabytes quickly, finding patterns and analyzing massive amounts of data, then distilling it down to key

There are large amounts of information available in the world through various media outlets, such as the internet, mobile conversations, emails, chats, messages, etc. Nowadays, everything is a big data and with the emergence of the whole new breed of big data software which is distributed all over in the world, whatever data is available can be used for analyzing.

Today’s analyst is inundated by an ever growing number of data being created by social media, mobile phones, climate sensors, digital pictures, etc. The volume being generated is staggering (2.7 Zettabytes of data in the digital universe).While

This paper will look at some of the ‘Big Data’ being implemented today. Regardless of ow anyone feel, ‘Big Data’ s a thing that is not going away. This paper will look at Video and Image Data, Audio Data, Textual Data, Managerial Accounting.

Today, data is a growing asset that various businesses are having difficulty converting into a powerful strategic tool. Companies need help turning this data into valuable insight, which can diminish risk and enhance returns on investments. Companies are struggling to make sense and obtain value from their big data. Superior and reliable

the ‘big Data era’ has arrived — multi-petabyte data warehouses, social media interactions, real-time sensory data feeds, geospatial information and other new data sources are presenting organisations with a range of challenges, but also significant opportunities. IDC believes that as CIOs start to adopt the new class of technologies required to process, discover and analyse these massive data sets that cannot be dealt with using traditional databases

Big data is an extensive collection of structured and unstructured data. It is a modern day technology which is applied to store, manage and analyze data that are not possible to manage, store and analyze by using the commonly used software or tools. Since all of our daily tasks are overtaken by the modern technologies and all the businesses and organizations are using internet system to operate, the production of data has increased significantly in past