10/12/2019
UNDERSTANDING DATA MANAGEMENT PROCESS
Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying the IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers and other end users.
The data management process includes a combination of different functions that collectively aim to make sure that the data in corporate systems is accurate, available and accessible. Most of the required work is done by IT and data management teams, but business users typically also participate in some parts of the process to ensure that the data meets their needs and to get them on board with policies governing its use.
Importance of data management
Data increasingly is seen as a corporate asset that can be used to make more-informed business decisions, improve marketing campaigns, optimize business operations and reduce costs, all with the goal of increasing revenue and profits. But a lack of proper data management can saddle organizations with incompatible data silos, inconsistent data sets and data quality problems that limit their ability to run business intelligence (BI) and analytics applications or, worse, lead to faulty findings.
Types of data management functions
The separate disciplines that are part of the overall data management process cover a series of steps, from data processing and storage to governance of how data is formatted and used in operational and analytical systems. Development of a data architecture is often the first step, particularly in large organizations with lots of data to manage. An architecture provides a blueprint for the databases and other data platforms that will be deployed, including specific technologies to fit individual applications.
Databases are the most common platform used to hold corporate data; they contain a collection of data that's organized so it can be accessed, updated and managed. They're used in both transaction processing systems that create operational data, such as customer records and sales orders, and data warehouses, which store consolidated data sets from business systems for BI and analytics.
Database administration is a core data management function. Once databases have been set up, performance monitoring and tuning must be done to maintain acceptable response times on database queries that users run to get information from the data stored in them. Other administrative tasks include database design, configuration, installation and updates; data security; database backup and recovery; and application of software upgrades and security patches.
DATA MANAGEMENT SERVICES BY ACCURATE DATA ENTRY CONSULTANTS
The consultancy offers the following data management services at lowest cost;
1. Database Designing- The database is designed using different statistical packages that suits customers requirements and specifications.
2. Data Entry/ processing service- Our forms processing services include extracting data from structured and unstructured forms and storing in a database of your specification. We maintain your data securely and confidentially.
3. Form designing- we design forms for data collections that comprehensively captures all the required information for better decision making by the managers
4. Data Cleansing- Data cleansing services provided by Accurate Data Entry Company includes efficient scrubbing of databases to remove incorrect, incomplete, duplicate or improperly formatted data. The resultant database is highly accurate and efficient. We follow fair trade practices and ensure that client data is always guarded from fraudulent users. A non-disclosure agreement is signed by us before initiation of any project. Regular data backups are maintained by our team leaders in secure space.
5. Data collection service- We have experienced readily available data collectors that ensure collected data is of good quality (Complete, Accurate and Timeliness). Data is collected within agreed time period at lowest cost.
