IMPORTANCE OF ARTIFICIAL
INTELLIGENCE & BLOCKCHAIN IN MASTER DATA MANAGEMENT Any business that wants to adopt AI or blockchain has to convert all data into digital format and data conversion services can help with digitization.
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As a data entry company, we know that poor or incomplete data can negatively affect decision making and business processes. Business leaders all over the world have realized the importance of using high-quality information to drive business success. To meet these expectations, businesses turn to Master Data. Master Data represents the business objects that contain the most valuable, agreed upon data that is shared across an organization. It is one of the most precious elements that a business owns. With the rising demand for digitization and the advent of the fourth industrial revolution, Master Data is increasing in value and in the future the demand for master data will be on the rise. Master data includes the names of people, products, customers, suppliers, employees, leads, tools, facilities and so on. Master data helps in describing transactions and processes. However, even a minor data error can prove disastrous. So, to avoid any damages, it is better to understand the importance of master data management. Master data allows companies to identify the various components of the business’s day to day operations. The data may be individual customers, vendors, part names, capital assets, products, etc that are recorded and maintained for business-critical processes. Master data management (MDM) allows enterprises’ decision support systems and organizational members to make quick business decisions accurately. In order to do that, all identifiers and elements must be agreed upon and established throughout the organization and preferably throughout the supply chain. It ensures consistency in identifying elements and eliminates any errors. Effective master data management assures optimization and speeding up of organizational processes. Another significance of master data management is in ensuring compliance with regulation. Regulators have stringent laws that govern how the organization handles financial and customer data. GDPR is one such law which requires businesses to have established practices and protocols in place to prevent unauthorized access to customers’ personal data. So, managing master data without losing efficiency and not compromising on compliance is crucial and requires automation and security. Let us look at the role of AI and blockchain in master data management. Artificial Intelligence and Master Data management Artificial Intelligence makes businesses more autonomous using advanced computational capabilities. Its ability to automate routine computational and data entry tasks makes a compelling case for incorporating artificial intelligence in Enterprise Resource Planning (ERP) and other data management systems. With Artificial Intelligence, information systems become smarter and provide the right information to the right people at the right time. AI can also bring autonomy and agility into master data management like data quality management, data stewardship and so on.
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AI can clean data and ensure that the data is accurate. AI can be also used to collect additional information relating to master data from normal text using natural language processing (NLP), minimizing the need for manual data entry, and consequently, minimizing the likelihood of inefficiencies and inaccuracies. AI ensures that the established master data management standards and practices are maintained and followed. This minimizes the need for manually performing data governance
activities
and thus, AI can automate data stewardship, i.e., managing and maintaining data to make it easily accessible whenever needed. With further advancements, it can automatically frame data governance policies and also deal with complex data. Blockchain Secures Master Data Management For any organization data security is a prime concern and it is vital for ethical purpose and
also
for
compliance
with
regulatory
bodies.
Today
with
all
technological
advancements, the term security of data is not complete without blockchain. Blockchain can be used for securing sensitive data such as personal information pertaining to customers and employees, and accounting and banking-related information that may be necessary for business processes like procurement and sales and so on. All these data can be secured using blockchain through cryptographic hashing. With decentralized model businesses can internally build enterprise blockchain networks to secure and manage master data. It protects data from illicit information, data theft, and accidental loss of data due to physical damage to centralized servers. Along with protecting data it also helps in compliance with privacy regulations in an easily demonstrable manner. Data on a blockchain is unassailable, transparent and visible to all who have access to it. This enables smoother audits and reviews. The data that comes under the purview of master data depends on the changes in industries, companies, or even between business functions. Both AI and blockchain may be different based on the classification of master data. With the growing capabilities of AI, it has become a necessity for almost all the organizations. Businesses that lead the race for adopting AI for master data management will not only see immediate results but will also maintain an edge over businesses who don’t in the future, since there is little doubt that AI is here to stay. Any business that wants to adopt AI or blockchain needs to convert all its data into digital format and data conversion services can help in the process of digitization.
www.managedoutsource.com
(800) 670 2809