Post on 12-Apr-2017
transcript
Big Data refers to either the humungous amount of data present in structured and unstructured form which is ever-expanding or the technology required to be able to deal with data of this measure.
What is BIG DATA?
The era of Big Data has brought with it the landmarks of petabytes (1,024 terabytes) and exabytes (1,024 petabytes) and the future is yet to come.
How Big is BIG DATA?
Once you have the data in your hands, you need to employ predictive analytics to gain insight from the data to predict the upcoming trends.
How Predictive Analytics help?
Since service providers are too many; it is advisable to know the basic 5 steps which should be included in every predictive analytics model.
What’s Fundamental?
1. Storm-Forecasts From Dust-Data
Learn to differentiate Between Relevant And Irrelevant Data
How to proceed? The overflowing data
must be sorted and categorized.
Develop tools that make process of collection and classification of data easy.
2. The Data-Spinal Column for Brain of Analytics Use Predictive
Algorithms than Blind Deductions for accurate conclusions
The ground for innovation in predictive analytics lies not in coming up with new formulas but in emerging with unprecedented forecasts.
This is possible when the data is strategized and analyzed to furnish exactly the kind of trend forecasts the company needs.
How to proceed?
It is important to recruit a leader who can direct the center on basis of the predefined algorithms sprinkled with a dash of ingenuity. The Chief Data Officer
(CDO) will be responsible for executing the Big Data Model depending on needs of enterprise.
How to proceed?
4.Diagnosing the Stakes of Data-Move
Have an idea about Supply Chain Risk Management
Follow up a description of your supply chain with self-assessment of vulnerabilities, and lastly, the evaluation of implication and identification of actions.
See the bigger picture and recognize how your supply chain fits into this.
How to proceed?
5. The Anatomy of Your Analytic Model
Selecting a Core Platform for storing data and performing analysis.
The ideal platform would be a cloud-based one such as AWS which will avoid the costs involved in building from the ground your supply chain management or in bringing together point solutions.
Gartner reports that through 2015, about 80% of Fortune 500 companies will be disabled from extracting benefits from big data.
How to proceed?
Other Slideshare Decks You Might Like
That’s not all, feel free to share this information
Suyati provides marketing technology and integration services for companies that wish to combine the best of breed solutions and create a unified approach to customer acquisition. This unified digital marketing approach requires system integration between various CMS and CRM platforms, and a slew of eCommerce, Marketing Automation, Social Media Listening, email and social marketing, and customer service systems. Our specialized knowledge in Salesforce, open source and .Net based systems enables us to build effective custom integrated solutions for our clients.