What Is Data Cleansing and Why Does It Matter?

What Is Data Cleansing and Why Does It Matter?

What Is Data Cleansing and Why Does It Matter?

Not everyone knows that data can be dirty. Dirty data poses a myriad of problems to businesses all over the world, so they want to know how to clean the data up. As time goes on, data gets dirtier, making the cleaning process more and more challenging. But what is data cleansing, and why does it matter? Read on to find out.

Cleaning Data

So, what do we mean when we talk about “dirty data?” Dirty data is not information about waste management. Instead, this phenomenon refers to data that’s incomplete, duplicated, or inaccurate. Dirty data doesn’t just spring into existence, though—it comes from somewhere. Typically, dirty data originates due to poor communication, user error, or even a bad data strategy.

Whether you know you have dirty data or you just want to play it safe (which is never a bad idea), data cleansing is your go-to solution. Data cleansing is a process that works to filter out the dirty data and clean it up. Essentially, the cleansing process removes or resolves every instance of incomplete, duplicated, or inaccurate data.

Data Quality

All the data in the world does no good if you’re not working with quality data. Dirty data can waste your time and even cost you serious money. When you work with high-quality data, you don’t need to worry about throwing money at a problem that doesn’t exist except within spreadsheets. That’s what low-quality data can do—tell lies through statistics.

Importance of Data Cleansing

Cleansing your data catalog is important because dirty data is a recipe for misinformation. You may not know the truth about your organization’s processes without a little data cleansing to help you! With master data management, you can clean your data easily and efficiently.

Now that you know what data cleansing is and why it matters, make sure you give your data a good cleaning before trying to use it. Otherwise, you may end up with information that isn’t helpful at all.

API Economy

API Economy

If Al Gore invented the Internet, then I invented the API Economy.

I came across the word API, way back in 1987, when I was creating reports using a BTOS micro machine from Burroughs (Later Unisys). I had to include a “Sorting Package”, into the long Pascal code which would fetch records, sort them with Sort functions (aka APIs) and print them onto a dot matrix printer. I’m glad that APIs have survived so many years of onslaught from competing acronyms. I’ve survived too. (Y2K was a short-lived acronym, but it made a lot of money for many many companies). API is still a popular ad word in Google and we pay a ton to get traffic from people wanting help with APIs

APIs are as critical to today’s world economy as the Suez Canal was to Britain’s trade in the 18th and 19th centuries. They are similar to the loading/unloading bays of distribution centers. In data terms, they are load/extract adapters.

Did you know that the ChainSys Smart Data Platform™ controls and marshals 9000 bays (API Adapters) situated in 200 distribution centers (Enterprise Applications)? Most trucks, semis, or lorries do not process the goods they carry. But the ChainSys Platform has massage equipment, which can transform the data while in transit, to the requirement and fancy of the receiving Application.

Many Customers abandon an old distribution center (ERP Application) and open a brand-new distribution center (Higher or Cloud version of a new ERP). Chain-Sys has been successful in helping Customers throw away unwanted things (data) in the old center, clean up the things and unload them to the new center. That is data migration. Setups migration can precede data migration.

When the bays are of standard size, standard-sized trucks can dock easily. In the software world, there are standards at the technical level. For example, web services allow programs to send or receive data from a distant repository. That is technical excellence. By the same token, we cannot pull out a “Customer Data Record” from an SAP ECC system and push it into an Oracle Cloud. There is no industry standard yet forcing vendors to import and export in a particular format (XML etc.). Wouldn’t it be nice if there are standard XML formats for invoices, sales orders, customer records, supplier records, and so forth? EDI is one such standard. The functional world is still playing catch up. ChainSys has painstakingly mapped the columns of many source systems’ records to target systems. That is a smart move. Pick the source and target and lo and behold, you find a pre-configured “Data Flow” object within the ChainSys Platform to readily transport your records.

ChainSys offers you in a platter harnessed APIs for SAP ECC, Oracle E-Business Suite, SAP S/4HANA, Oracle Cloud Applications, Microsoft Dynamics, Hadoop, Hive, Cloudera, Oracle DB, Redshift, Salesforce, Workday, JDEdwards, Peoplesoft, and your Custom Applications.

Now that you have APIs to play around with, try data cleansing, master data management (MDM), build data lakes, catalog your enterprise data, use the APIs as building blocks to create dazzling new Applications that integrate with existing ERP Systems, move to a newer version of your ERP, etc. What you can imagine, you can get them done. Call the people at Chainsys to show you how to do some of these stuffs.

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