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Data Processing

In today’s digital world growth is so rapid that many organizations lack behind to keep up with that pace.

Businesses grow when they utilize their resources with utmost efficiency and effectiveness. For any business data is one of the preeminent resources. Regardless of what the business size is or what industry the business is in.

We at Incubit understand how important it is for you to effectively and efficiently manage your data. Data may be in spreadsheets, databases, applications and to process all of it may be a challenge for others but not for us.Incubit has the experience and the software to perform your data processing tasks more efficiently and at a lower cost, letting you concentrate on your business instead.

Incubit has had many on-site Vendor Security Compliance Reviews by Fortune 100™ clients and is SAS 70 Type II reviewed.

security and compliance requirements of the majority Fortune 100™ companies, streamlining

Incubit meets the data the engagement process for your data processing projects.

When it comes to Data Processing and Management Incubit has the following expertise:

  • Master Data Management: Master data management (MDM) we help you to manage, centralize, organize, categorize, localize, synchronize and enrich master data according to the business rules of the sales, marketing and operational strategies of your company.

  • Data Linkage and Business Name Matching: Through this we help you to identify, match and merge records that correspond to the same person from several datasets or even within one dataset. Datasets are linked using common identifiers. This will help your company to save precious resources like man-hours.

  • Data Abstraction, Annotation and Classification: We use our expertise to break down the data into simplified form, labeling the data for machine learning, and classifying the data into relevant categories.

  • Data Categorization and Standardization: We organize the data by relevant categories so that it may be used and protected more efficiently and convert it to a common format to enable users to process and analyze it with any effort.

  • Data Integration: We consolidate data from disparate sources into a single dataset so that you have access to your data easily and in one place.

  • Statistical Modeling: We apply statistical analysis to a dataset to describe patterns of variability that random variables or data may display.

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