Session on data analytics

1. Aravali College of Engineering
and Management,
Faridabad
Department of Computer Science & Engineering
(July – Dec 2020)
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2. SESSION
ON
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3. What is common among all of them?
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4. Data , Information and Knowledge
 Data
The most elementary description of things, events, activities and transactions.
(Raw, Facts and Figures.)
 Information
Organized Data that has meaning and value.
 Knowledge
The concept of understanding information based on recognized patterns in a way
that provide insight to information.
In computing, data is information that has been translated
into a form that is efficient for movement or processing. Data
can exist in a variety of forms as numbers or text on pieces of
paper, as bits and bytes stored in electronic memory, or as
facts stored in a person's mind.
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5. ANALYTICS
Analytics is the discovery, interpretation, and communication
of meaningful patterns in data and applying those patterns
towards effective decision making Analytics is an encompassing
and multidimensional field that uses mathematics, statistics,
predictive modeling and machine learning techniques to find
meaningful patterns and knowledge in recorded data.
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6. What is DATA ANALYTICS?
Data analysis is a process of inspecting,
cleansing, transforming, and modeling data.
Data analytics refers to qualitative and
quantitative techniques and processes used
to enhance productivity and business gain.
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7. Why DATA ANALYTICS?
Data Analytics is needed in Business to Consumer applications (B2C).
Organizations collect data that they have gathered from customers,
businesses, economy and practical experience. Data is then processed
after gathering and is categorized as per the requirement and analysis is
done to study purchase patterns and etc.
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8. PROCESS OF DATA ANALYTICS
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9. IMPORTANCE OF DATA ANALYTICS
Predict customer trends and behaviors
Analyze, interpret and deliver data in meaningful
ways
Increase business productivity
Drive effective decision-making
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10. FOUR TYPES OF ANALYTICS WE PERFORM
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11. UNDERSTANDING VARIOUS TYPES OF DATA ANALYTICS
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12. TRUTH ABOUT DATA ANALYTICS
Data analytics for businesses that want to make good use of the data that they
are taking in. Businesses that can use data analytics properly are more likely than
others to succeed and thrive. But with all of the advantages of data analytics, the
key benefits can be described in this way:
 Data analytics reduces the costs associated with running a business.
 It cuts down on the time needed to come to strategy-defining decisions.
 Data analytics help to more-accurately define customer trends. Determining
the Effectiveness of Your Analytics Program
Given the growing familiarity and popularity of data analytics, there are a
number of advanced analytics programs available on the market. As such, there
are certain traits to look for in any analytics solution that will help you gage just
how effective it will be in improving your business.
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13. APPLICATIONS in following areas
 Fraud and Risk Detection
 Healthcare
 Internet Search
 Targeted Advertising
 Website Recommendations
 Advanced Image Recognition
 Speech Recognition
 Airline Route Planning
 Gaming
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14. REQUIREMENT FOR DATA ANALYSTS
Data analysis jobs are everywhere and they are bound to
increase!
Here are some facts and figures to highlight this: “2.5 billion gigabytes (GB) of
data was generated every day in 2012. (IBM) International Business Machines”
Going by the statistics, by 2022, about 1.7 megabytes of new information will be
created every second for every human! Well, that’s huge. Very huge. Companies
will need more and more data specialists to analysis and manage the data
generated.
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15. ANALYTICS TOOLS
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16. 8/17/2020 16
Aravali College of Engineering And Management
Jasana, Tigoan Road, Neharpar, Faridabad, Delhi NCR
Toll Free Number : 91- 8527538785
Website : www.acem.edu.in