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Business & Big Data Analytics Training Program

Big Data Analytics

POST GRADUATE PROGRAM IN BUSINESS ANALYTICS AND BIG DATA BY REPLACING "PGP - BIG DATA & BUSINESS ANALYTICS"

Why Business Analytics

1. The future – Industry have so much of data available now generated during the digitization phase in last 2 decades. Now is the time to utilize this data for executive management and strategic decision making.

2.Biggies like Tesco, Wal-mart, American Express, New York Stock Exchange etc have already Big Data implementation on the way.

3. McKinsey Global Institute’s Big data: The next frontier for innovation, competition, and productivity estimates that by 2018, “the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know- how to use the analysis of big data to make effective decisions.

4. 90% of fortune 500 companies will have big data initiatives underway by end 2015.

Benefits of Big Data Analytics Course

1. Analytics using Big Data can be leveraged across all industries including Pharma, Telecom, Manufacturing, Retail, Health care, Public Sector Administration.Big Data & Business Analytics

2. Estimate of over 2.5 lakh big data analytics jobs to be in there by mid 2015 in India alone.

3. Learn from the experts – We have engaged the best brains in the industry with a sea of practical and implementation experience in the field to give you the best available knowledge and share the real life case studies and experiences across different domains to prepare you for the real world.

4. Learn and understand the applicability of Big Data analytics using cross section of tools and technologies that can be used tomorrow.

Course Contents

Module 1 : Basics of Business Analytics & Business Mathematics

Module 2 : Predictive Analytics and Advanced Techniques

Module 3 : Business problem solving using advance analytics

Module 4 : Analytics in the age of Big Data

Module 5 : Big Data implementation across domains

Module 6 :Big Data Architecture

Module 7 : Data management using big data

Module 8:Benefits and business implementation of big data over the conventional

data management

Researchers at the McKinsey Global Institute (MGI) pointed out several years ago that retailers who made use of business analytics would be able to reduce costs by eight percent and improve operating margins by about three-fifths. There are some digital natives such as Amazon, Google and Facebook that have made extensive use of Big Data to excel in their businesses. But for legacy companies the impact has not always been rosy as they have had to re-jig their entire processes to maintain relevance in the present time. Their core processes long pre-date the advent of the digital age. Thus, few of them have achieved the optimization of data analytics at scale. In case organizations aren’t able to exploit these new technologies they might as well consider some useful online tools that process data at fast pace. Their adoption gets complicated by the fact that a lot of front-facing managers do not find the use of analytics as beneficial towards decision making. So adoption of tools is often not matched by enthusiasm among the staff members. Companies must take active steps to imbibe such hands-on training on analytics for its employees.Source:

Source:http://www.mckinsey.com/business-functions/business-technology/our-insights/getting-big-impact-from-big-data

Auto giant Ford has imbibed Big Data capabilities in a big way to analyze micro-trends at the industry wide level. Ford has always been progressive about the use of technology having put in microprocessors to monitor fuel usage back in the 1970s. But now the capabilities have shifted from an earlier almost complete reliance to hardware to a situation where the same forms only three-fifths of the overall technological footprint. Ford is also making extensive use of cloud based technologies. Cloud also helps in data warehousing operations, as otherwise it would get nearly impossible to store the quantity of data now generated. This also enables the tracking of any automobile using simple devices such as smartphones. Privacy could have become a sticking point but Ford has taken due steps to regulate this by affirming that all data collected from passenger vehicles is owned by the customer. Ford is adamant that while this data may be useful for non-automotive companies too, it cannot be shared freely.

Source:http://www.forbes.com/sites/joannmuller/2015/10/22/how-ford-is-using-big-data-to-change-the-way-we-use-our-cars/

Chief Marketing Officers (CMOs) have unique challenges these days propelled by innovations such as cloud computing, business analytics, social media, smart phones and gigantic heaps of data. That is why it is important for them to prioritize functions and realign the company’s focus in that direction. First of all the disparate streams of data from different sources need to be interwoven together to derive cohesive meaning. The data warehousing operations done must deliver customer value. This will help in providing relevant solutions to the customer base. Costs are being controlled by leveraging social, mobile, analytics and cloud technologies as has been done by Cisco. Instead these investments like events and tradeshows are being driven towards training the people or new technologies such as on automation or loyalty programmes. Habits also need to be modified accordingly. For example the content needs to be tailored specifically for the relevant audience rather than mass campaigns. Data needs to be replicable to be a success in overseas markets as well. The CMOs can no longer simply allow the CIO to provide all technology support as marketing has becoming increasingly driven and not just reliant on technology. The CMOs needs to understand basics of data security.

Source:http://www.forbes.com/sites/onmarketing/2014/04/29/why-cmo-leadership-is-essential-to-data-driven-marketing/#2215e1261555

There is clearly a greater need to streamlining the operations between the sales and marketing teams. Data powered business analytics is one such tool. The Chief Marketing Officers (CMOs) do not require to intervene at all times if there are proper reporting procedures in place. A dashboard must be constructed specific to the company where the analytics will detail the entire marketing efforts and sales achievements in summary form. This will help the CMO to weed out any differences between sales and marketing teams. Due to the vast data warehousing operations that most platforms maintain these days, analytics can eke out predictive analytics. This will assist marketers in predictive the next moves of individual customers as well as the overall market. Similarly, even practical analytics can be evoked from them such as analysis on each of the campaigns and what went wrong. It can even be used to engage on social media or in CRM related tasks.

Source:https://www.martechadvisor.com/articles/bi-ci-data-science/three-ways-data-analytics-can-foster-greater-alignment-between-sales-and-marketing-teams/

 

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