Showing posts with label Big Data Training. Show all posts
Showing posts with label Big Data Training. Show all posts

6 Feb 2020

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What makes big data so important?

Consumers live in a digital world of instant expectation. From digital sales transactions to marketing feedback and refinement, everything in today’s cloud-based business world moves fast. All these rapid transactions produce and compile data at an equally speedy rate. Putting this information to good use in real-time often means the difference between capitalizing on information for a 360 view of the target audience, or losing customers to competitors who do.

The possibilities (and potential pitfalls) of managing and utilizing data operations are endless. Here are a few of the most important ways big data can transform an organization:


Business intelligence
  • Coined to describe the ingestion, analysis, and application of big data for the benefit of an organization, business intelligence is a critical weapon in the fight for the modern market. By charting and predicting activity and challenge points, business intelligence puts an organization’s big data to work on behalf of its product.

Innovation
  • By analyzing a periscope-level view of the myriad interactions, patterns, and anomalies taking place within an industry and market, big data is used to drive new, creative products and tools to market.

    Imagine “Acme Widget Company” reviews its big data picture and discovers that in warmer weather, Widget B sells at a rate of nearly double Widget A in the Midwest, while sales remain equal on the West Coast and in the South. Acme could develop a marketing tool that pushes social media campaigns that target Midwestern markets with unique advertising highlighting the popularity and instant availability of Widget B. In this way, Acme can put its big data to work with new or customized products and ads that maximize profit potential..

Lowered cost of ownership
  • If a penny saved is a penny earned, then big data brings the potential to earn lots of pennies. IT professionals measure operations not by the price tags on equipment, but on a variety of factors, including annual contracts, licensing, and personnel overhead.

    The insights unearthed from big data operations can quickly crystalize where resources are being underutilized and what areas need more attention. Together this information empowers managers to keep budgets flexible enough to operate in a modern environment. Visit www.arcnettraining or click http://www.arcnettraining.com/index.php?ws=services&cid=0&sid=13637

28 Jan 2020

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Big Data is data but with a huge size. Big Data is a term used to describe a collection of data that is huge in size and always growing exponentially with time. In short such data is so large and complex that none of the traditional data management tools are able to store it or process it efficiently. That why we need Big Data analytics to make sure that all the important data are well managed.


The name Big Data itself is related to a size which is enormous. Size of data plays a very crucial role in determining value out of data. Also, whether a particular data can actually be considered as a Big Data or not, is dependent upon the volume of data. Hence, 'Volume' is one characteristic which needs to be considered while dealing with Big Data.


'Variety' refers to heterogeneous sources and the nature of data, both structured and unstructured. During earlier days, spreadsheets and databases were the only sources of data considered by most of the applications. Nowadays, data in the form of emails, photos, videos, monitoring devices, PDFs, audio, etc. are also being considered in the analysis applications. This variety of unstructured data poses certain issues for storage, mining and analyzing data.


The term 'Velocity' refers to the speed of generation of data. How fast the data is generated and processed to meet the demands, determines real potential in the data.

Big Data Velocity deals with the speed at which data flows in from sources like business processes, application logs, networks, and social media sites, sensors, mobile devices, etc. The flow of data is massive and continuous.


This refers to the inconsistency which can be shown by the data at times, thus hindering the process of being able to handle and manage the data effectively.


Learn more at www.arcnettraining.com or visit our official Facebook page @ArcNetHQ


23 Dec 2019

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The finance department generates lots of data.

2 type of data :

✔ Structured data is information managed within an organization in order to provide key decision-making insights.
✔ Unstructured data exists in multiple sources in increasing volumes and offers significant analytical opportunities.
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With the ability to analyze diverse sets of data, ArcNet workshop help finance department make informed decisions on uses like improved customer service, fraud prevention, and risk exposure assessment.
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Click here 
https://www.facebook.com/ArcNetHQ/photos/pcb.2623895280992840/2623893474326354/?type=3&theater to learn more or PM to register your seat in the upcoming training and get the early bird ticket!