2. Index
• Introduction to business analytics
• Challenges of business analytics
• Tools of business analytics
• Benefits of business analytics
• Importance of business analytics
• Scope of business analytics
• Key skills
• Technical skills
• Job roles
• Top recruiter
• Bibliography
3. Introduction to business analytics
• Business analytics (BA) is a set of disciplines and technologies for
solving business problems using data analysis, statistical models and
other quantitative methods.
• Data-driven companies treat their data as a business asset and actively
look for ways to turn it into a competitive advantage.
• Success with business analytics depends on data quality, skilled
analysts who understand the technologies and the business, and a
commitment to using data to gain insights that inform business
decisions.
• It involves an iterative, methodical exploration of an organization's data,
with an emphasis on statistical analysis, to drive decision-making.
4. Challenges of business analytics
• Too many data sources
• There is an increasingly large spectrum of internet-connected devices
generating business data. In many cases, they are generating different
types of data that must be integrated into an analytics strategy. However,
the more complex a data set becomes, the harder it is to use it as part of
an analytics framework.
• Lack of skills
• The demand for employees with the data analytic skills necessary to
process BA data has grown. Some businesses, particularly small and
medium-sized businesses (SMBs), may have a hard time hiring people
with the BA expertise and skills they need.
• Data storage limitations
• Before a business can begin to decide how it will process data, it must
decide where to store it. For instance, a data lake can be used to capture
large volumes of unstructured data.
5. Tools of business analytics
• Dundas BI, with automated trend forecasting and a user-friendly interface;
• Knime Analytics Platform, which has high-performance data pipelining and
machine learning;
• Qlik's QlikView with data visualization and automated data association
features;
• Sisense, known for its dynamic text-analysis features and data
warehousing;
• Splunk, which has intuitive user interface and data visualization features;
• Tableau, which has advanced unstructured text analysis and natural
language processing capabilities; and
• Tibco Spotfire, which offers powerful, automated statistical and
unstructured text analysis.
6. Benefits of business analytics
• To club in one phrase: Business Analytics brings actionable insights for businesses.
However, here are the main benefits of Business Analytics:
1. Improve operational efficiency through their daily activities.
2. Assist businesses to understand their customers more precisely.
3. Business uses data visualization to offer projections for future outcomes.
4. These insights help in decision making and planning for the future.
5. Business analytics measures performance and drives growth.
6. Discover hidden trends, generate leads, and scale business in the right direction.
7. Importance of business analytics
• Business analytics is a methodology or tool to make a sound commercial
decision. Hence it impacts functioning of the whole organization.
Therefore, business analytics can help improve profitability of the business,
increase market share and revenue and provide better return to a
shareholder.
• Facilitates better understanding of available primary and secondary data,
which again affect operational efficiency of several departments.
• Provides a competitive advantage to companies. In this digital age flow of
information is almost equal to all the players. It is how this information is
utilized makes the company competitive. Business analytics combines
available data with various well thought models to improve business
decisions.
• Converts available data into valuable information. This information can be
presented in any required format, comfortable to the decision maker.
8. Scope of business analytics
• Business analytics has a wide range of application and usages. It can be
used for descriptive analysis in which data is utilized to understand past
and present situation. This kind of descriptive analysis is used to asses’
current market position of the company and effectiveness of previous
business decision.
• It is used for predictive analysis, which is typical used to asses’ previous
business performance.
• Business analytics is also used for prescriptive analysis, which is utilized to
formulate optimization techniques for stronger business performance.
• For example, business analytics is used to determine pricing of various
products in a departmental store based past and present set of
information.
9. Key skills
• Understanding the Business Objective
• analytical and Critical Thinking
• Communication and Interpersonal Skills
• Negotiation and Cost-Benefit Analysis
• Decision-Making Skills
10. Technical skills
• Programming Languages
• Creation of Reports and Dashboards
• Database and SQL
• Microsoft Excel
• Documentation and Presentation
• Cloud computing
• Power bi
12. Top recruiters
Management consulting firms like Boston Consulting Group
(BCG), McKinsey and Company;
Multinationals like KPMG, Accenture, Deloitte;
Financial services corporations like Morgan Stanley and
American Express;
Technology giants like Microsoft, Amazon, Google, Facebook,
Wipro, Infosys, and HCL;
Conglomerates like Tata Group, Larsen & Toubro, Reliance,
etc.
