How to data manage
Data management helps an enterprise to keep control over its policies, procedures, strategies and practices so as to ensure proper implementation of the same and resulting in reduced administration and costs. Data management deals with flow of an enterprise’s data right from its creation till the time it become obsolete and is deleted. In today’s digital world, data safety and security is a big concern for every organization.
Effective data management is mission critical for every organization. Any issue in terms of quality or delay in data processing hampers customer service & the profitability as well.
Every organization has its own unique goals for adding value to its data, but many of the tools for enriching data are universal in their refinement of content and documents to weed out errors and inconsistencies.
Reporting & Analytics
Reporting provides you with information, analytics give you insights. Reporting raises questions, analytics attempts to answer them.
Both are valuable, but toward different purposes
Our qualified Clickworkers search the Internet for you for potential customers. They search the Net for companies and institutions that have a fundamental interest in your products or services according to your specifications.
Data classification is the process of organizing data into categories for its most effective and efficient use.A well-planned data classification system makes essential data easy to find and retrieve. This can be of particular importance for risk management, legal discovery, and compliance.
Content Review & Moderation
The Content Review feature lets site visitors review content on a scale of one through five stars. Depending on how you implement the feature, you can allow users to apply full or half-star rating increments and a comment.
Data cleansing, data cleaning, or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.
Data deduplication — often called intelligent compression or single-instance storage — is a process that eliminates redundant copies of data and reduces storage overhead. Data deduplication techniques ensure that only one unique instance of data is retained on storage media, such as disk, flash or tape. Redundant data blocks are replaced with a pointer to the unique data copy.