Many organizations large and small are constantly trying to improve and streamline their data management tasks. Whether that’s getting a better handle on data preparation tasks, cleaning data more effectively, or implementing a better standard of data quality, there’s an endless need to better handle data.
So how can data deduplication technology help protect your data? Generally speaking, a comprehensive data cleaning tool will handle data deduplication, among several other tasks:
- Deduplication and merge purge within and across any number of files from various data sources
- Suppression of existing customers or Do Not Contact from marketing and sales lists
- Advanced record linkage technology for the ability to create data warehouses
- Standardization of business and customer data
Data deduplication, generally speaking, helps eliminate redundant copies of data. In the normal course of a day, information can become duplicated. For example, an email server may have duplicate attachments that were sent to the same 25 people. If data duplication strategies didn’t exist, this same attachment would be available in the server.
Fixing and removing duplicate data across an organization can improve performance across various systems and networks. Generally, data deduplication is the perfect task for operations that cause redundancies, such as backups. It can make a big dent in decreasing storage and improving bandwidth, as well as improving efficiencies within a company or organization.
It can also save the embarrassment of having duplicate mailings go out to customers. A customer may lose patience and respect for a company if they keep receiving duplicate mailings.
Don’t attempt to handle this manually! This will take weeks and cause a massive loss of productivity and valuable time. DataMatch Enterprise by Data Ladder is a best in class data quality tools suite that handles data deduplication, among other tasks for business. The user-friendly tools allow you to narrow your search by the type of file, data, and size. Whether you’re looking to remove duplicate records based on a single field or number of select fields, DataMatch Enterprise can accommodate any number of needs.
Poor data quality is one of the quickest way to lose customers. Loss of trust and credibility can damage a business quickly. You want to make sure there aren’t any anomalies; this is done by analyzing the data from its source, and collecting that data to make sure of its quality.
In layman’s terms, you want to make sure that the language your computer is speaking is understood to other systems your computer is communicating with, or something could be lost in translation. This is generally the issue with poor data quality, and it could be avoided with some profiling done at the beginning of the communication process.
Even with the best of intentions, operating systems and platforms will still misunderstand or interpret some of that data incorrectly, as much as 25%.
DataMatch will create a cleansed, deduplicated master file that can be used. The critical master file in question must provide a new point of reference for the staff and management to understand. This new point of reference entails a new structure in the system, which is called “architecture.” Let’s break this down and understand more about the architecture. It has five separate components:
Unstructured: Data found in emails, articles, and product specs, PDF files.
Transactional: Data having to do with sales, deliveries, invoices, trouble tickets, monetary and non-monetary items.
Metadata: Data about other data, definitions reports, documents, log files, connections
Hierarchical: Data that stores relationships between other data. This is extremely important that this is understood since many times this includes company organizational structures and product lines; also could be stored as part of the accounting system. All of the preceding is in direct correlation to the master data.
Master Data: This is the most crucial data to any company: this data has to have a common point of reference for all personnel and management to obtain.
All this new architecture the process of creating a completely new master file is costly, time-consuming. While this is being done, there is substantial downtime incurred, not to mention frustration for your business.
Accuracy is of utmost importance; one glitch in your master database could prove disastrous since your master database is used by various applications.
Intelligent MSSQL de-deduplication projects begin with DataMatch. DataMatch’s software suite will assist with several things:
- Import/Export from MSSQL with SQL statements.
- Import/Export from Excel, Access, Text Files, ODBC, and other file types as well.
- Remove duplicates from MSSQL
- Clean data with included libraries on nicknames, abbreviations, states, advanced pattern recognition and more
- Parse addresses, email, and other data with customizable parsing tools
- Find and remove duplicates within and between data sets with multiple fuzzy match techniques
- See graphical reports on your total data quality and duplicate percentage
In addition, DataMatch Enterprise provides superior performance during those critical backup processes. It fulfills more than standard recovery time objectives during the deduplication process. To deduplicate a database, the software suite deploys number of powerful features that expedite the process a great deal.
Deduping database modules is not an easy task since it must handle the critical databases and sort through the often messy lists, including contact email addresses, list of customers, lists from database retrieval software, offline product and itemized databases, and other related database categories.
DataMatch Enterprise dedupes database entries, designed to save both time and money. While deduping databases, it cleans databases for heavy multiple entries or unsorted entries that affect the structure of the database. Both corporate and mid-size companies heavily rely on DataMatch Enterprise to dedupe databases, using it to dedupe highly-controlled CRM databases and other critical documents.
Getting your data quality problems straightened out early will only help your business run more smoothly. Discover how DataMatch Enterprise by Data Ladder can help your data deduplication needs and provide your company stronger and better insights through effective, smarter use of data.