Business Analytics Presentation Assignment

1. THE ROLE OF DATA ANALYTICS
IN STARTUPS

2. WHAT IS DATA ANALYTICS?
 Data analytics is the science of integrating heterogeneous data from diverse sources, drawing
inferences, and making predictions to enable innovation, gain competitive business advantage,
and help strategic decision-making.
 Data analytics involves the manipulation and computation of large volumes of data, often from a
wide variety of different sources. Manipulation and computation are performed at high velocity
to identify patterns, correlations, and other useful information.
 In the recent years, with the emergence of Big Data, the data analytics domain now has a bigger
role as well as greater challenges. The bigger role comes from the strategic initiatives across
various organizations, small and big, to leverage big data for innovation and competitive
advantage.

3. WHAT IS A STARTUP?
 The term startup refers to a company in its initial stages of operations. Startups are founded by
one or more entrepreneurs who want to develop a product or service for which they believe
there is demand, and could bring innovation in the economy.
 Until the time, the business really takes off, a startup is often financed by its founders and may
attempt to attract outside investment from various rounds of funding from different Angel
Investors or Venture Capitalists.

4. WAYS DATA ANALYTICS CAN HELP
STARTUPS
 SETS KEY PERFORMANCE INDICATORS:
Data analysis help start-up set goals. Without metrics, it would be difficult to layout goals and
measure the progress which allows a start-up to constantly improving and pushing forward. Sharing
updates with the rest of the organisation would ensure a motivated, informed and focused
workspace.

5. WAYS DATA ANALYTICS CAN HELP
STARTUPS
 ELEVATE DECISION MAKING:
Data can be used by everyone within a company to increase productivity and enhance decision
making. It aids the entrepreneurs to make smart, calculated and informed decisions about their
start-up. It helps them in identifying trends and patterns, conflict areas and successes, uncovering
hidden opportunities and potential future steps.

6. WAYS DATA ANALYTICS CAN HELP
STARTUPS
 TARGETED CONTENT:
Knowing the requirements of customers beforehand makes marketing campaigns more customer-
oriented. It empowers companies to customize their advertisements in order to target an entire
segment of the customer base. It also helps them in determining which segment of customers will
respond efficiently to the campaign.

7. WAYS DATA ANALYTICS CAN HELP
STARTUPS
 OPERATIONAL EFFICIENCY:
Data analytics help start-up in identifying other potential opportunities to streamline operations and
maximize profits. It helps them in recognizing problems, eliminating the process of waiting for them
to occur and take necessary actions for the same. This allows them to see which operations have
yielded best results under various conditions and pinpoint which operational areas are error-prone
requiring improvements.

8. WAYS DATA ANALYTICS CAN HELP
STARTUPS
 ANTICIPATING THE ANALYSIS:
Owing to a large amount of structured and unstructured data, it would be difficult to manage and
infer relevant information from them. Data analytic tools like Tableau, Power BI and Logi are capable
of handling heterogeneous data and provide insights out of them. It allows decision-makers to
realise connections between multi-dimensional data sets and provide innovative ways to interpret
data through graphical representations.

9. STARTUPS AND BIG DATA
 In-depth customer analysis
Any business a loyal set of customers and to maintain that previously, start-ups would lure their
users by providing them gift coupons, discounts, privileges, etc. But now by incorporating Big Data,
one can always keep an eye on the buying pattern of the customers and thus provide them the
product according to their choice in the future.
Moreover, with Cloud computing, Big Data has become a very important aspect and allows the
start-ups to work only according to customer needs. By analysing the buying patterns, with Big Data,
companies can also predict what the customer will buy in the future, how often they buy, etc. Thus,
modifying entrepreneurs approach according to the changing consumer behaviour. The start-ups
will also be aware of the customer’s opinion towards their product, thus guiding them to improve
their product regularly.

10. STARTUPS AND BIG DATA
 Threat Analysis and better collaboration
For any budding start-up, Big Data analytics helps the businesses to build a robust framework which
ensures to the point study of all the potential dangers beforehand. Big Data will also keep the
sensitive information secured, thus allowing the Start-up to focus on other things without having to
worry about data security. Big Data also helps the business to keep pace with all the latest
happenings in the business world by continually scanning the relevant information that is required.

11. TYPE OF INDUSTRIES
 Data Analytics is mainly used by industries like IT Industries, Travel Industries, and Healthcare
Industries. Data Analytics helps these industries to create new developments which are done by
using historical data and analysing past trends & patterns.
 Big Data is used by industries such as banking industries, retail industries and many more. Big
Data helps these industries in many ways to take some strategic business decisions.

12. THANK YOU