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Data Governance

Data Management

Data driven organizations are dealing with two issues. First, they have to deal with an increase in data volume. Second, they are contending with an increase in the importance of data.

With the growth in data's volume and importance in the organization comes a greater need for specialists to oversee the management of all that data. How is it collected and stored? How is it kept secure? Who has access, and under what conditions? Two such data specializations are data governance and data stewardship.

Though sometimes used interchangeably, the two do have separate meanings and the disciplines have different focuses. Data stewardship is tactical in nature. That involves management in the short term with a focus on the local and the specific whereas data governance is more strategic in nature, and focuses on the long-term general uses of the data across the organization.

Arisoft has wide ranging experience in the areas of data managements like data analysis, data quality, data cleansing and data profiling. With years of experience we have honed our skills to the level where we can confidently project ourselves as emerging leaders in data management services.

Data Governance

Controlling the Who, What, Why, When and Where.

Data Management Strategy.

Binding Data Management into a cohesive approach

Data Quality

Ensuring data meets standards and objectives.

Data Validation

Ensuring that a program operates on clean, correct and useful data.

Data Cleansing

Achieving data quality in practice by correcting (or removing) corrupt or inaccurate data or by completing incomplete data.

Data Profiling

Measuring the data in possible perspectives to understand its quality challenges.