https://www.datatobiz.com/blog/data-visualization/ Data is not just any simple random collection of information anymore, rather, an influential insight that can convert into a monetary form if used properly. As a result of such an influence, many corporations have been managing data warehouses powered by DW-a-a-S (Data Warehouse As a Service) to keep important information coming from multiple sources in one common region termed as data warehouse. These relevant chunks of information are refined and processed for better use and application . As data delivers value to the organization through data visualization, it significantly influences in; Optimizing business processes within the organization Increasing operational efficiency Identifying Market Trends Driving New Revenues Forecasting upcoming probabilities and trends for Market Competence But the role further transcends when data visualization fuses with data warehousing to provide real-time leverage and value to the enterprises. But before we delve deeper and explain the correlation between data warehousing and the data visualization process, the readers must first know these terms.

1. HOW DATA VISUALIZATION
AND DATA WAREHOUSING
HELPS SOLVE BUSINESS
PROBLEMS
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2. What is Data Warehousing or DWaaS and
Data Visualization?
Data warehousing is a specific process that collects data from multiple sources and
stores it in one place for use. In the data warehousing process, cleaning, integration
and consolidation of data all happen at one single point.
On the other hand, data visualization is a technique representing data in a visual
form for better understanding of underlying data.The role of visualization is essential
to clearly convey what the data means and how it can significantly influence the
decision making through such representation.

3. Use Case to Demonstrate
How Data Warehousing
is Adding Value to Data
Visualization Process

4. Data visualization cannot act on its own until and unless there are a large chunk
of processed, cleansed, integrated and consolidated data available from which
the trends and patterns can be sorted or meticulously picked. To better explain
this, you need to take the example of airflight travels and how DW-a-a-S along
with Data Visualization Process can significantly change the overall scenario of
flight delays and other problems that lead to significant loss in the revenue of the
airlines and discomfort for the passengers.
Everyone flies once maybe in their lifetime and the worst experience for such fliers
would be delayed or cancelled flights. The situation might be bearable for
someone who flies occasionally like 3 to 4 times in a year. But what if someone
who is flying maybe 5 to 10 times in a month. The delay might be unbearable for
them. Not just for the passengers but even for the airport and the airline
company. So, these airlines companies are looking for a smart solution that can
anticipate delays in flight through the use of technology.

5. In this pursuit, representation of data that must be presented in a clear and
concise manner will make the difference, hence Data Warehousing or DW-a-a-S
looks like an amicable solution for the same. But without bringing data
visualization in the process, it will be very hard to pinpoint the key problematic
areas that need the right approach for an amicable solution. Data warehousing or
DW-a-a-S can add value to the Data Visualization Process by working on the
following areas;

6. Specifying the Reasons
for Flight Delays

7. Lets take an airline industry problem example to understand the benefits from the
fusion of data warehousing and data visualization. Flight Delay has always been
one of the biggest problem airline industry faces since its inception. According to
one of the report about on time performance in 2019 by cirium in global network
category, the best airline LANTAM has 86.67% flights reaching within 15 minutes of
scheduled time. One can imagine how airlines down in the order must be
performing worst on this most important KPI of Airline Industry.
Delays happen quite often when airlines have multiple destinations to hit on a
single day and they have to battle the weather and other man made problems.
But understanding the cause of the delay help in simplifying the experience of the
travellers by preventing all the factors that contribute to the delay. The only way
to achieve that should be through data warehousing using the data visualization
process.

8. The data warehousing technique or DW-a-a-S would store all the data from ATC, ticket
booking, weather department, National Air System, security delays, carrier delay and
other contributing factors. Using the data visualization technique, the DW-a-a-S
service provider will identify trends and patterns that contribute to the delay every time
the flight is scheduled for takeoff. With such an approach, the delays can be analysed
based on classification, airport, airline, state, and the days of the month.
These things can significantly help in curbing the delays. When the insights using the
data visualization process rummage through the data warehouse, they can find out the
airlines that operate the most flights with maximum delays, the state, town and city
that has most time lag in giving the flight clearance to airplanes to fly on their
scheduled times, and the airports that witness most man-made or created problems
that lead to the delay. Every piece of information lies in the data warehouse, but finding
the refined and real-time insight happens best when data visualization process comes
in the picture. With such an approach, millions of dollars can be saved and efficiency of
the airlines and even other sectors can improve when they can find out the problem
contributing areas that are slowing down the progress.

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https://www.datatobiz.com/blog/data-visualization/