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In today’s competitive age, business needs are dynamic and ever evolving therefore pushing enterprises to adopt newer applications and upgrade existing systems often resulting in the need to migrate critical business data. It is crucial that this data be managed accurately while ensuring minimal business disruptions and avoiding common problems such as multiple and disparate data interpretation.
Effective Data Quality Management services help companies to effectively improve the quality of their products and services.
Aayathi’s Data Management experts can help enterprises address these challenges by offering:
• Data Migration services to accurately migrate data without any business disruptions
• End-to-End Master Data Management solutions
• Development and deployment of high performance data connectors data sources ranging from ERP and CRM applications, databases to OLAP cubes.
Throughout the process, we draw on our Collaborative Business Experience approach, backed by our Data management services of Excellence. This approach guarantees high-quality solutions that maximize the return-on-investment while minimizing the time needed to see its value.
Requisite
Data can become corrupted or inaccurate due to several reasons. The mistakes may come from manual data entry or automated capture processing. It can even be due to similar entries in the dictionary database. Errors can also arise from storage or transmission processes when paper documents are being converted to electronic documents.
At Aayathi, we understand that accurate business data is priceless, which is why we strive to provide it to our valued clients. We provide proven solutions to problems related to corrupted data.
What we do
• Data Cleansing
o Error detection based on defined rules
o Identify inaccurate data and provide analysis reports
o Correct inaccurate or corrupted data
o Data conversion and transfer from one application to another
o Create rule-based data subsets
• Rules Definition
o Define data cleansing rules to suit clients’ needs
o Run pilot tests on newly defined rules on sample data
o Implement design rule application procedure
Advantages
• Possesses extensive knowledge and experience in managing business, personal or data structures
• Utilizes defined processes to achieve data accuracy
• Ensures data safety and security
• Uses semi-automated processes for faster and accurate results
Requisite
At Aayathi, we utilize state-of-the art data capture methods to extract clear and accurate information from structured data sources, including standard forms or database and from unstructured data sources, such as online resources and documents of different formats. These extracted data can then be used to create accurate reports, in mailing lists, workflow systems, ERP, CRM etc.,
What we do
• Capture Key information
• Converting files to another format
• Extracting data from online resource like website, library etc.
• Processing forms
• Publishing electronic data
Advantages
• Possesses extensive knowledge and experience in managing business, personal or data structures
• Utilizes defined processes to achieve data accuracy
• Ensures data safety and security
• Uses semi-automated processes for faster and accurate results
• Well-trained and highly efficient software team supports processes to significantly reduce capture time and cost
Requisite
Data auditing is the process of conducting a data audit to assess how company's data is fit for given purpose. This involves profiling the data and assessing the impact of poor quality data on the organization's performance and profits.
Inaccurate data may cost from $1 to millions. Auditing data is a must and accuracy needs to be strictly ensured. The data quality audit presents data from your processes in the entire context of your company-wide data management. The result and benefit for you: maximum data transparency.
What we do
• We utilize a proven six-tier processes to identify inaccurate and corrupted data as follows:
o Defining
o Locating
o Profiling
o Standardizing
o Matching & Merging
o Deploying
• Audit all different data types and formats whether manually entered or software generated
• Crosscheck data cleansing rules throughout the database
• Extensive know-how and experience in business data handling and database management
• Maintain accurate, consistent and high-quality data
Advantages
• Strong data accuracy auditing experience including:
o Online live portal
o Off line data set
o Unstructured data
Aayathi is an acknowledged specialist in data integration and management. Driving rigor around the data quality process is “what we do”. In fact, data quality is a regular by-product of all our work in business intelligence, data warehousing, and data integration.
Aayathi understands automation as a key factor in delivering data management with quality.
We have significant experience working with all of the leading data quality tools and bring an in-depth understanding of their offerings, as well as their strengths and weaknesses, to the Data Quality Audit. At the same time we maintain our position of vendor neutrality and do not resell hardware or software.
Aayathi consultants work with both IT and the business to determine how to leverage existing processes and business rules.
We help companies formalize a data quality program or center of excellence that can serve the enterprise for the long-term.
Advantages
• Data in the form demanded by business for effective data management
• Optimised data quality for efficient and profitable work
• Support from an experienced consultant during the entire project
• Integration of several operational functions
• Cost reduction with standardised methods and proven best practice models
• Permanent transparency for operating departments and IT management
• Optimised data quality for efficient and profitable work
• Professional support during the change process within the framework of the data management
