Data Challenges and Its Solutions
Globalization led to the opening up of new avenues for companies and organizations to explore. As companies and organizations started expanding their business operations, it led to substantial growth in the volume of data. Since data is indispensable for business continuity, data proliferated in mission critical databases. This led to deterioration of application performance, which in turn affected business agility very badly. This makes it necessary for the frequent evaluation of data management strategies and implementation of effective data management solutions to solve today’s data challenges.
Data Challenges
The following are some of the important challenges faced by companies and organizations all over the world due to the huge and growing mountain of data.
Data Findability
Findability is defined as the ability to quickly find the right information inside the enterprise, across formats and repositories. However, when there is huge amount of data stored on databases, it is always difficult to identify, discover and find the data that is being searched for. If the data is not easily findable then it means loss of time and loss of productivity. With most of the employees in companies and organizations being knowledge workers, the difficulty in finding the required data results in spending their valuable time in searching for it or in reproducing data that already exists.
Data Accessibility
Accessibility can be referred to as the ability to make the data easily accessible to people and machines. Employees can be more productive if the required data can be accessed easily and simply.
Importance of Data
The value of data to the businesses changes over time. Instead of storing relevant and irrelevant data together, it is always better to classify data based on its business value and regulatory impact for tiered storage and information security.
Data Integration
Data integration means merging data stored in different sources so that a unified view of the data can be provided to the users.
Data Aggregation
Data aggregation is nothing but providing information gathered in a summarized form.
Data Compliance
Data includes sensitive data of employees and customers consisting of credit card information, health information, social security numbers and so on. The sensitive data need to be protected from falling into wrong hands. Realizing the need of protecting the information from cyber criminals, regulators have established laws, which the companies and organizations need to abide by at all costs.
As data proliferates, it is becoming increasingly unmanageable. Hence, companies and organizations must invest in enterprise data management software that provide solutions such as data masking tools, application retirement, database archiving, information lifecycle management and so on.
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