Unleash the Power of Enterprise Data with Data Management Consulting Services

Data is one of the biggest assets organizations have today. The data that organizations have today hold immense potential to contribute to intelligent decision making, thus helping in business growth. What is really challenging is that most of this data is unstructured, and analysis of unstructured data can be immensely complex. The modern data management consulting services are the solution to the challenges faced by organizations today.

Data management consulting services consist of a range of services that are designed to take care of every aspect of data management. This bouquet of services are what businesses need today to unleash the power of enterprise data. Let’s take a closer look.

1] Data Governance
 

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The concept of data management which ensures existence of high quality data throughout the complete lifecycle of the data in the organization, is referred to as data governance. It defines principles, procedures, and standards for the effective use of data in order to maintain the quality of data.

Key benefit:
•    Helps organizations maintain the highest quality of data
•    Makes regulatory compliance easy.

2] Data Security

 

Data security refers to the practices that are directed towards protecting the organizational data from unauthorized access, data corruption as well as external threats, including data breaches, malware and spyware. Data security  includes encryption, tokenization and other procedures to safeguard data across all applications and databases.

Key Benefit:
•    Protection of sensitive information from unauthorized access.
•    Prevention of loss of data due to data corruption.

3] Data Architecture

 
Data architecture consists of models, policies and rules that govern the collection, storage, management and integration of organizational data for use in data systems. Defining data standards for the interaction of data in different data systems forms one of the primary components of data architecture.

Key Benefit:
•    Accelerates digital transformation of your enterprise
•    Contributes to democratization of data, making data sharing easy and seamless.

4] Database Management

 
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A database is a collection of organized data that is electronically stored. Database management is the process of managing the data in the multiple databases within the organization to ensure the end users are able to access and interact with the data and make necessary changes, if required.

Key Benefits:
•    Increases productivity of the end user
•    Improves data security
•    Removes redundancy in data within the database

5] Data Integration

 
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Data integration implies unifying data from multiple sources at a single location for easy access and analysis. Organizational data today consists of data from multiple sources and a major portion of this data is unstructured. This makes data integration important because without effective integration, it can be impossible for organizations to analyze or even learn about such unsurmountable volumes of data.

Key Benefits:
•    Reduces data complexity
•    Makes data collaboration easy

6] Metadata Management
 

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Metadata management refers to the administration of data that describes other data. It’s a practice that ensures metadata is correct, complete and updated at any given time. Metadata management helps organizations make the best use of metadata.

Key Benefits:
•    Ensures consistency in the definition of terms in the data
•    Improves clarity of data lineage

7] Data Quality

 
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Data quality refers to how useful a given set of data is in terms of serving its purpose in a given context. Data quality is one of the components of data management consulting services and focuses on analyzing data in terms of its accuracy, reliability, relevance and completeness, in order to determine if a given set of data meets the quality standards.

Key Benefits:
•    Boosts accuracy of data-driven decision making
•    Improves data consistency

8] Master Data Management

 
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This is a form of data management that involves the critical data of the organization and is all about defining and managing this data. Master data management is similar in concept to data integration, as both are directed towards bringing together data to a single point of reference.

Key Benefits:
•    Enables master edits that eliminate discrepancies in data
•    Makes data accessible on multiple platforms

9] Data Warehousing

 
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The process of constructing and using a data warehouse, also known as enterprise data warehouse (EDW) is referred to as data warehousing. A data warehouse is a central repository of data integrated from heterogeneous sources to facilitate decision making and data analytics.

Key Benefits:
•    Makes timely access to data possible
•    Boosts business intelligence

The Final Word
Data management consulting services take care of everything related to data for organizations seeking to maximize the potential of the large volumes of enterprise data. The multiple services bring in a plethora of benefits and these are essential for an enterprise to stay ahead of the competition in the times of Big Data.

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