VERACİTY- CLEANSİG AND TRANSFORMATİON
Difference Between
Data Cleansing and Data Transformation
The main difference between data cleansing and data
transformation is that the data cleansing is the process of removing the
unwanted data from a dataset or database while the data transformation is the
process of converting data from one format to another format.
A business organization stores data in different data
sources. It is important to make decisions by analyzing the data. Analyzing
data from multiple data sources is difficult. Therefore, business organizations
use data warehouses. It is a central location that stores consolidated data
from multiple databases. Data warehouses help to create reports, analyze data,
visualize data and make valuable business decisions. In other words, data
warehousing supports the overall business intelligence process. Data cleansing
and data transformation are two techniques that are used in data warehousing.
Data cleansing refers to eliminating meaningless data from the data set to
improve data consistency while data transformation refers to converting data
from one structure to another structure to make them easier for processing.
Key Areas Covered
1. What is Data Cleansing
– Definition,
Functionality
2. What is Data Transformation
– Definition,
Functionality
3. What is the Difference Between Data Cleansing and Data
Transformation
– Comparison of
Key Differences
What is Data
Cleansing
A business organization uses various sources to store data.
They can have different databases such as Oracle, MySQL, etc. It is difficult
to analyze data in different data sources. Data warehousing provides a solution
to this issue. It helps to collect, store and manage data from a variety of
data sources into a central location called a data warehouse. The data
warehouse gets data from transactional systems and various relational
databases. Finally, this data is processed and analyzed to get meaningful
business insights.
The data should be cleaned and transformed before loading
into the warehouse. The extracted data from multiple sources can consist of
meaningless data. Dummy values, contradictory data, absence of data are
considered as meaningless data. These unnecessary data must be removed from the
dataset. Overall, data cleaning will not just provide a clean dataset. It also
brings data consistency to different sets of data that have merged from various
data sources.
What is Data
Transformation
After cleansing, the data is transformed into a suitable
format. Data transformation helps to process the data easily. Data transforming
can be simple or complex depending on the required changes on the data. Standardizing
data, character set conversion, encoding handling, splitting or merging fields,
conversion units of measurements into a standard format, aggregation,
consolidation, delete duplicate data are some of the tasks involved in data
transformation.
After completing the data transformation, the data is loaded
into the data warehouse for processing. Finally, the senior management and data
analysts can take decisions based on the processed data. Apart from data
warehousing, data cleansing and data transforming are also used for statistical
and mathematical operations.
Difference Between
Data Cleansing and Data Transformation
Definition
Data cleansing is the process of detecting and removing
corrupted or inaccurate records from a record set, table or database while the
data transformation is the process of converting data from one format or
structure into another format or structure.
Usage
Furthermore, data cleansing helps to clean the dataset and
improve the data consistency while data transformation helps to make data
processing easier.
Conclusion
Data cleansing and data transformation are two techniques
used in data warehousing. The difference between data cleansing and data
transformation is that the data cleansing is the process of removing unwanted
data from a dataset or database while the data transformation is the process of
converting data from one format to another format.
Top 6 Digital
Transformation Trends in Hospitality and Tourism
In the past few months, we’ve been looking at digital
transformation trends in different industries like healthcare, retail, finance,
and media and entertainment. Today, we look at an industry that’s been
completely turned on its head in recent years, due to extreme digital
transformation: tourism and hospitality.
It used to be that we’d visit a brick-and-mortar travel
agent every time we needed to plan a family vacation or work trip. (Granted,
some of you may not remember that.) But today, thanks to mobility, travelers
are playing a much larger role in the experience. They want to find a hotel
that matches their style—on their terms—the very moment they need it. And
thanks to players like AirBnB, which set the stage for a completely new era of
travel, they can. Indeed, when it comes to the hospitality business, digital
transformation is a mix of greater customer demands—and the technology that can
help meet them. Let’s take a look at the top trends impacting the hospitality
and tourism industry.
Mobile Integration
The digital transformation is a dream come true for introverts
who like to travel. With mobile-first and mobile-only brands continuing to
grow, customers can do practically anything on their phone, from checking in—to
ordering room service—to unlocking the room door itself. In fact, one can plan
an entire trip—from booking to bedtime and home again—without ever talking to a
live human.
AI and Chatbots
Remember when all hotels used to have clunky welcome binders
on the desks, outlining where to eat, what to see, and what to do in the
area—everything you needed to know? Today, hotels can provide all that
information—and more—via AI-powered apps and technology. Guests can access the
information at any time they need, right from their phones in the form of an
e-concierge. They can even access voice-activated chat bots to open the
curtains, set the alarm, or order breakfast, without ever talking to a human
being. At the Cosmopolitan in Las Vegas, you can even text a robot named Rose
at any time, 24/7, and she’ll find a way to fill your request, fast. Meanwhile,
Marriott has been using AI-powered chat bots at nearly 5,000 hotels to do
things like make reservation changes, and check on account balances or
redemption vouchers.
Integration of the
IoT
As more and more devices get connected to the Internet of
Things (IoT), it makes sense that the tourism and hospitality industry would
begin to harness that data to improve the customer experience. After all, the
more they know about their guests, the better they can please them. If the IoT
data tells them the customer has visited their resort every year for the last
three years, it can automatically send a message proactively asking the guest
if they’d like to make another booking this year. You just saved your customer
a step—and guaranteed a booked room—without ever lifting a finger. The same
could be said by harnessing information about food selection, excursions, and
in-room amenities. The opportunities for up-sells and better CX are endless.
Focus on Data
As noted above, data is going to play a huge part in the new
era of hospitality and tourism. In the case of AirBnB, they were able to use
customer data to determine that guests who chose not to book were doing so
because they were discouraged by hosts who failed to respond to their
inquiries. (I’ve been there—it’s annoying.) By offering instant booking feature
to guarantee their reservation, they helped alleviate many of the customers’
concerns and helped automate what had previously been an incredibly arduous
part of their business model. Data didn’t just improve CX. It improves the
bottom line, as well.
Reputation
The fact that guests can book instantly also means they can
share their opinions instantly via Facebook, Yelp, TripAdvisor and other travel
review websites. That’s why technology has pushed hotels and restaurants to
focus even more on providing quality customer service. Yes, there are outliers.
I’ve experienced them myself. But there is no doubt the trend is toward better
service for guests—not just a better return for operators.
Virtual Reality
Whether it’s a hotel property, museum, or a tourist
destination, guests can take a look without even leaving their living room via
virtual reality. The goal is either to offer a preview of what guests will
experience—or offer the next-best-thing to visiting at all. (For instance,
would you rather pay $4,000 to visit Paris in real life, or $200 to take the
same trip in a virtual world?) This isn’t being done on a widespread scale yet,
but some major operators are offering guests the chance to experience at least
a snippet of their travel experience—offering greater piece of mind especially
to those planning a visit to a faraway destination. Others destinations, like
the Museum of Modern Art in New York (MOMA) are already offering VR
installations as part of their exhibits.
The travel and tourism business is a $1.2 trillion industry.
Clearly, there is incentive to invest to grow it even more. Whether the IoT is
improving the accuracy of flight schedules, or the lure o f VR is convincing
someone to take their first overseas trip, there is truly no end to the value
tech can add to travel. They just need to be careful it doesn’t become so good
that guests prefer the tech over the real thing.
References
1)Lithmee(2018)’Difference
Between Data Cleansing and Data Transformation’.Avaliable at:
https://pediaa.com/difference-between-data-cleansing-and-data-transformation/
(Accessed:25 March 2022)
2)Newman,D.’ Top
6 Digital Transformation Trends in Hospitality and Tourism’.Avaliable at:
(Accessed:25 March 2022)
Anil(10598717)
KeyWords:#travel#budget#revolution#social#socialmedia#Data#Industry#BigData#World#Marketing#Extension#Hotel#Tourism#Cleansing#Transformation
Thats the amazing topic to learn Cleansing and Data
ReplyDeleteThat is very useful topic to find difference between cleansing and transformation
ReplyDeleteIt's a really helpful article. I was wondering about veracity cleansing and data, I can see how is important for businesses. There are lots of benefits to help the process of data transformation. Also, virtual reality technology helps a lot of customers and business owners. It gives the opportunity for the guest to visit different places all around the world without paying too much cost. I believe, in the future, every single person will experience it. But some people prefer to visit places in reality.
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