Data Management Project

2. Data is a collection of information gathered by observations,
measurements, research or analysis. They may consist of facts,
numbers, names, figures or even description of things. Data is
organized in the form of graphs, charts or tables.
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Data management is the practice of collecting, organizing, protecting,
and storing an organization’s data so it can be analyzed for business
decisions.
The data management process includes a combination of different
functions that collectively aim to make sure that the data is accurate,
available and accessible.

3. Data management is a crucial first step to employing effective data
analysis at scale, which leads to important insights that add value to
your customers and improve your bottom line.
Data increasingly is seen as a corporate asset that can be used to make
more-informed business decisions, improve marketing campaigns,
optimize business operations and reduce costs, all with the goal of
increasing revenue and profits.
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4.  Master Data Management
 Data steward
 Data quality management
 Data security
 Data governance
 Big data management
 Data warehousing
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5. Data management can increase the visibility of your
organization’s data assets, making it easier for people to quickly
and confidently find the right data for their analysis. Data
visibility allows your company to be more organized and
productive, allowing employees to find the data they need to
better do their jobs.
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Data management helps minimize potential errors by
establishing processes and policies for usage and building trust
in the data being used to make decisions across your
organization. With reliable, up-to-date data, companies can
respond more efficiently to market changes and customer
needs.

6. Data management helps organizations in numerous ways by
identifying and resolving underlying errors and help provide a better
customer experience altogether.For starters, data management gives
organization insights about how to measure that truckloads of data that
they have. Data management helps business managers look at the
larger picture in order to gain perspective and have a better approach
towards growth and planning.As soon as the data management strategy
is in place, data can then be used to dig gold in terms of business:
business intelligence. Digging for useful information can help
enterprises in a lot of ways such as
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7. • Advertisements that target audiences with respect to their inclinations and
interests.
• All-encompassing security that shields crucial data.
• Arrangement with important consistence norms, setting aside time and
money.
• AI (Artificial Intelligence) that becomes all the more ecologically mindful
after a period, fueling programmed and consistent improvement.
• Decreased working costs through usage of just the vital stockpiling and
figure out power needed for ideal execution.
• Shoppers and purchasers gain profit by data management as well. By
observing their interests, inclinations and shopping propensities,
organizations can offer clients quicker admittance to data they need.
Prospective buyers admire customizations in their shopping feed and find
it convenient to pay online with full safety of their confidential data.
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8. The importance of data management is that it can improve decision-
making in a number of ways. First, it can provide accurate and up-to-
date information about the current state of a system or data
management process. This information can be used to identify trends
and patterns that may not be immediately apparent.
It can help to identify and track key performance indicators. These
indicators can be used to measure progress and identify areas where
improvements need to be made.
Finally, it can help to create a historical record of decisions that have
been made in the past. This record can be used to help inform future
decision-making.
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9. Proper data management is important because it helps decision-makers
understand the information that they have gathered. It also helps them
understand how the information relates to other pieces of data that they have
obtained.
In short, it is the procedure companies use to manage, control, protect,
access, store, and maintain data sources. It starts with complete control of the
cycle, from data capture to storage.
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10. Poor data quality adds friction to the sales process by slowing
down sales follow-up, decreasing conversion rates and
increasing the cost of acquiring customers, which ultimately
stifles revenue growth and tarnishes brand reputation.
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Streamline the sales
process

11. This is further complicated by human error. Colleagues forget to collect
valuable information from leads. Or perhaps they don’t ask for firmographic
data—the data that describes information as it relates to organizations as a
whole—that helps sales ops determine lead quality.
They may forget to record complete contact data, which prevents sales reps
from following up on leads quickly.
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12.  Use a variety of follow-up methods.
 Provide value with each follow-up.
 Always define the next steps.
 Keep it brief
 Don’t Be Afraid of Follow-ups
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13. Thanks!
Any questions?
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