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Big Data & Business Analytics

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

Increasingly, and more than ever before, life is being measured in numbers. Countries measure their economies on the basis of the GDP calculated, while students are graded right from their initial steps. Schools too, get judged on the basis of scores achieved by its students, while universities are ranked as per their quantifiable placement records. Most humans are now under the radar of companies, through the act of data warehousing. This entails the stockpiling of enormous quantities of data, brought in together from all digital data points. Most of the industries today, would come to a standstill, without the basis of this enormous data set.

Source:https://www.economist.com/books-and-arts/2019/02/23/life-and-society-are-increasingly-governed-by-numbers

Uploaded Date:27 February 2019

While small businesses often drive economic growth, the high capital costs could bring them down later on. Big companies on the other hand thrive on scale. At present, it is the availability of big data, or huge stockpiles of information, that give such companies an edge. Firms with over a thousand employees are getting bigger thanks to the right deployment of this data. A third of the total workforce in the US is now employed at the large firms, in comparison to a fourth, as was the trend in the 1980s. Companies such as Exxon, get intricate market insights thanks to the data warehousing they get done. Producing data has thus, now become imperative to surviving and thriving on the business scene.

Source:http://mitsloan.mit.edu/ideas-made-to-matter/big-data-helps-large-firms-grow-even-bigger?utm_source=mitsloantwitter&utm_medium=social&utm_campaign=firmgrowth

Uploaded Date:27 February 2019

 

There are now several ways in which predictive analytics is being used to improve the overall customer experience. One is obviously in predicting customer needs using business analytics to run through entire history of purchases, demographics, gender and other such aspects. The next is to provide instant product or service feedback. The third is to identify the risks on flight takers, or those who may shift to other competitor brands. A more appropriate pricing model may also be deduced thanks to the business intelligence captured. Staffing decisions may also be taken accordingly, on whether to increase the manpower or not. The service model may also be rectified on a preemptive style, rather than only when the feedback gets really bad, out in the open. The data captured can likewise be used to conduct a real- time marketing. The future can thus be saved by using this form of predictive analytics.

Source:https://www.forbes.com/sites/blakemorgan/2019/01/16/7-kinds-of-predictive-analytics-for-customer-experience/#141bf1004223

Uploaded Date:22 January 2019

Growth is now in the digital age being measured very differently, from what it was earlier, thanks to the rise of business analytics. Digital disruption, rising customer expectations and increased competition have upped the game for the respective industry incumbents. The winners of today are those that can spot the hyper- granular opportunities. This concept was first discussed more than a decade back in the landmark book The Granularity of Growth written by partners at McKinsey & Company- Sven Smit and Patrick Viguerie- as well as MerdadBagai, who was then with Alchemy Growth Partners. A strategy to beat the odds now has to be devised by all market players. The market leaders now need to ace the Growth Pass. This includes the concepts of precision, scale, speed and agility.

Source:https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/reinventing-growth

Uploaded Date:15 January 2019

The role of the marketer has changed. The process of marketing now involves the use of descriptive business analytics, and not the descriptive method as was earlier the case. This transition is not always smooth, but some methods have been identified to make sure that happens. First of all, the entire data warehousing must take place at a central location, rather than split out. In order to have the best metrics between conversion and churn, a complete 360- degree real- time view of the consumer has to be put in place. Personalization is now the holy grail, as marketers need to bring in the personal touch across the purchase journey. In particular, this has brought in the best of results in the ABM (Account- Based Marketing) space.

Source:https://www.forbes.com/sites/forbescommunicationscouncil/2018/12/11/transitioning-from-descriptive-to-predictive-analytics-in-your-marketing/#599a30133528

Uploaded Date:31st December 2018

In order to boost sales, Microsoft applies a data- driven approach. Companies have been using people analytics or the behavioral data of their employees to understand what goes into cracking the right sales pitch. Business transformation or reorganization does not always benefit, as existing networks will then get disrupted. The LinkedIn Sales Navigator can be used to further improve the existing networks. The business accounts which show the promise of high growth, need to handled differently. Microsoft also invests in people relations, as this invariably boosts customer satisfaction. Using data- driven business analytics, the customer satisfaction or the lack of it, can now be predicted with a certain level of accuracy. To make this entire effort a success, the participation of the executive level is extremely crucial. The data warehousing once done, must remain free to use and not be constrained by the presence of silos. Proper investment must be made to recruit the right people in data science, analytics and data engineering.

Source:https://hbr.org/2018/12/a-look-into-microsofts-data-driven-approach-to-improving-sales

Uploaded Date:28 December 2018

The word Mar Tech of course is an amalgamation of the words marketing and technology. This Mar Tech has a genuine requirement for Digital Asset Management (DAM). Digital assets include pictures, videos, logos, graphics, PDFs, documents, audio files, illustrations, animations and slide decks. The requirement stated is in order to follow the brand’s guidelines as stated during the very inception. It will also enable space not to get cluttered by unimportant files, which in turn will boost the advanced search capabilities. Content duplication can also be avoided, improving the depth of data warehousing being practiced. In turn, it will lead to better control over the content. Plugins and integrations can then be made available. It can work to optimize the CMS, marketing automation tools, file sharing on cloud, publishing and project management. It will also help optimize social media content, thus boosting digital marketing efforts towards the right direction. All of this will then point towards a culture of collaboration.

Source:https://www.martechadvisor.com/articles/asset-management/need-for-digital-asset-management-dam-martech/

Uploaded Date:03 December 2018

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