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Company Data

What Is Company Data?

Company data is information on a specific company’s aspects, interests, and inclinations. This data includes not just internal data like sales stats or customer relationships but also external data about the industry, location, company size, and customer behavior.

Where Does Company Data Come From?

Company data primarily comes from internal information from the company itself. This includes customer information, company performance statistics, software, assets, manuals and designs, financial information, and all other data in the company IT Systems or in an acquired company’s databases.

What Types of Columns/Attributes Should I Expect When Working with This Data?

All Database Management Systems (DBMSs) run by companies consist of one or more system-defined (i.e., built-in) simple data types. Two basic DBMS operators support extra operators for simple data types, including decimal, numeric, float, real, int, smallint, tinyint, char, and varchar.

These datasets can include varying information, such as from subjects like employee performance reviews to lists of leads, transactions records, target markets, and product catalog data. Finally, many company datasets include information about business processes such as business goals or supply chain operations.

What Is This Data Used For?

Due to the broad array of information this data contains, it can help you make better business decisions at every level. Additionally, by bringing to light the weak points in your own organization and within your competitors, you can make better long- and short-term decisions.

How Should I Test the Quality of Company Data?

To test the quality of your company data, consider the issues of accessibility, usability, reliability, consistency, and completeness. The following questions can help you determine the quality of the data:

  • How available and accessible is the data?
  • How fast can it be accessed?
  • Is the dataset well structured, in a way that can be easily consumed?
  • How consistent is the dataset over time?

What Are the Most Important Factors I Should Vet When Working with This Data?

How data is gathered and analyzed depends on the nature and size of the organization, and of course on the intended use of the data. Furthermore, data collection must comply with company and industry codes as well FOIA and other Privacy Protection legislation. In order to keep effectiveness and efficiency as the main focus, remember that only data that can shed light on company issues or opportunities should be collected.

The next step in vetting this data is an internal and external assessment of the company’s organization and goals. After this, the databases themselves can be evaluated for the short term or the long term as resource allocation is different for each.

Interesting Case Studies and Blogs to Look Into

Data Flair: 5 Big Data Case Studies – How big companies use Big Data
Sisense: Crunchbase Gets Access to the Right Data Across the Organization

Tangible Examples of Impact

Absa uses data analytics and data science models, combined with basic customer data and other data sets and variables, to pre-empt customer behavior and identify new customer needs. [Absa’s] ambition is to become a digitally led bank that is centred around the customer.

Absa Data Analytics Team wins International Award

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