Data import
All-in-one solution for connecting and combining data from multiple disparate sources – including file formats, relational databases, cloud storage, and APIs – and merging them to attain clean and standardized data.
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DEFINiTION
What is data import?
Data import is a feature that enables and allows you to connect disparate data sources to one application – especially for the purpose of data cleansing, matching, deduplication, or merge/purge.
Data import option must support multiple data inlets, such as local files (text files, CSV, excel sheets), databases (SQL Server, Oracle, Teradata), cloud stores (CRMs such as Salesforce), APIs, and other databases using ODBC connection.
Benefits
Why do you need data import?
Bring it all together
Join data from a variety of data stores and applications and keep all information related to an entity at one place.
Standardize data across sources
Resolve the syntactic and semantic differences in data values that develop while residing in siloes across multiple sources.
Drive holistic business insights
Ensure the accuracy of data-driven decisions by considering all data dimensions captured at different points in time.
Build a single source of truth
Provide a single source of truth to employees and customers by combining and joining data from varied sources.
Features
What can DataMatch Enterprise’s data import do for you?
There’s more
What else do you get out of the box?
- Live preview of imported data
- In-built and custom connectors
- Support for bulk imports
- SQL scripting for custom import
- Data source and project library
- Data files and fields renaming
- Replace and reload data sources
- Multi-format support for exporting results
User roles
A tool made for everyone
Data analysts
Business users
IT Professionals
Novice users
Features
We take care of your complete DQM lifecycle
Import
Connect and integrate data from multiple disparate sources
Profiling
Automate data quality checks and get instant data profile reports
Cleansing
Standardize & transform datasets through various operations
Matching
Execute industry-grade data match algorithms on datasets
Deduplication
Eliminate duplicate values and records to preserve uniqueness
Merge & purge
Configure merge and survivorship rules to get the most out of data
Want to know more?
Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
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Mitigating Investigation Risks: The Essential Role of Data Profiling and Cleansing
In 2024, National Public Data, a prominent background check and fraud prevention service, made headlines for all the wrong reasons. Over 2.7 billion records containing
Why Data Quality Is the Foundation of Effective Compliance in Security and Investigations?
Imagine a fortress where every brick represents a piece of your organization’s data. Now, picture some bricks riddled with cracks and inconsistencies. Despite its imposing
Mitigating Investigation Risks: The Essential Role of Data Profiling and Cleansing
In 2024, National Public Data, a prominent background check and fraud prevention service, made headlines for all the wrong reasons. Over 2.7 billion records containing
Why Data Quality Is the Foundation of Effective Compliance in Security and Investigations?
Imagine a fortress where every brick represents a piece of your organization’s data. Now, picture some bricks riddled with cracks and inconsistencies. Despite its imposing
How Data Deduplication Streamlines Investigations and Reduces Risk
In a survey conducted by Validity, 44% of the respondents revealed that duplicate data significantly impacted their ability to fully leverage their CRM systems. Now,