Big Data & Business Analytics

Big Data 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

The platform economy, that we are all a part of now, requires a different mentality to do work in. There are now a number of companies that are actually fake, and use their reach to fraud customers. To be careful, the area of talent recruitment also needs a change in game plan. As several freelancers and part- time workers are part of many companies now, they need to be sourced, but with caution. For this, Upwork is the best platform. It uses big data to connect recruiters with the potential talent. Uber’s success with drivers can well be replicated by Upwork, when it comes to tech and content professionals. Three kinds of platforms are now in vogue. These are for transaction, innovation and a hybrid model. Upwork falls under the first category. The utility of Upwork is best in that it can work across verticals.


Uploaded Date:20 July 2019

Tech companies have often borne the brunt of diversity champions. As a result, too often in order to please this lobby, such companies have used data- driven business analytics to ensure a greater diversified talent pool. A number of these initiatives can get awry thanks to the presence of a small sample of numbers to work with. Some steps have been identified which these tech companies must work on, to solve this conundrum. For a start, one needs to make claims with whatever sample sizes are available. One needs to dig deeper within this data set. Managers need to be deeply involved in it. The talent recruitment process must not however fade away, simply to the presence of some numbers. One needs to up the sample sizes eventually.


Uploaded Date:26 June 2019

There is a growing trend to over- emphasize on the importance of data analytics. A lot of corporate leaders nowadays, instead of taking decisions themselves, like to leave it all to this data- backed business analytics. This is wrong, as instead the analytics must aid business. Too much of time now gets wasted on methodologies, rather than the actual work. First of all data needs to be purpose driven. To get the best out of the data warehousing done, the right questions need to be framed right at the start. One needs to take a strategic look at the bigger picture. But at the same time, intricate details cannot be missed out. Taboos cannot be completely driven out. So, the top team needs to embrace them, and work around their limitations. Once the minute details are out through analysis, the top management needs to connect the dots, to understand the bigger context. Besides merely focusing on the outputs and productivity, one has to concentrate on action. Crucially, the team built for this purpose, too needs to be multi- skilled.


Uploaded Date:26 June 2019

The field of people analytics has now gone mainstream. It refers to the use of advanced business analytics on the field of people management. Individual HR processes are eased up using this. Data warehousing remains among the top challenges, as without the right inputs, insights cannot be extracted. It is also a must for mapping the talent value chain. To do this, the first step is always to define what is top priority. Wherever there exist gaps in the data collection, those need to be filled urgently. Post the selection process, on boarding is the next critical step in the right direction. Daily management processes need to be put in place. The behavior and interactions of key stakeholders, especially of employees needs to be mapped out. A lot of the insights that data delivers us, challenges the conventional wisdom understood. Frontline employees typically fall under four different categories. The first are the socializers, who have a high EQ, are spontaneous, and are generally the higher risk- takers. Potential leaders have several of these skills, plus are good at multitasking. The third category are the- entrepreneurial taskmasters. They are good at planning and execution. The fourth ones are the conservative taskmasters. They aren’t risk seekers, nor are they much adept at multitasking.


Uploaded Date:15 June 2019

Global geopolitical tensions pose a major threat towards the stability of supply chain networks. As a result, they remain volatile for much of the period. To override such constant challenges, companies in the sector have identified embedded business analytics as the best solution. It helps companies achieve total visibility. This happens due to their ability to track the business intelligence across the chain. Sustainability can also thus be achieved in the business. Supply chain players are now increasingly adopting a more customer- centric approach, both in the B2C as well as in the industrial marketing space. These analytics come with built- in insights. This helps in bringing the supply chain closest to real- time operational processes using analytics.


Uploaded Date:04 June 2019

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.


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.


Uploaded Date:27 February 2019


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