Data Analytics – Implementing CAAT's
An organisation today is swamped with a vast amount of Data with the booming of the IT industry and implementation of ERP, SCM, CRM solutions, Data Warehouses, BI Tools and the entire range of such solutions. The decision maker needs to decide on what is the relevant information that he should consider before committing the organisation’s resources. The evolution of Analysis software is encouraging audit and MIS professionals to apply data analytic techniques to support the business. It examines raw data with the purpose of drawing conclusions about that information. It seeks to allow companies and organizations to make better business decisions and to verify or disprove existing models or theories. Data analytics is distinguished from data mining by the scope, purpose and focus of the analysis. Data miners sort through huge data sets using sophisticated software to identify undiscovered patterns and establish hidden relationships. Data analytics focuses on inference, the process of deriving a conclusion based solely on what is already known by the researcher.
Data Analysis Software, our team supports organisations to analyse data. Repetitive Analytics with IDEA paves the way for operational excellence and increased profitability by removing control deficiencies, preventing revenue leakages and facilitating cost rationalization.
Whether providing specific services or complete turn-key solutions, our professionals are experienced and skilled in assessing, designing and implementing quality analytic solutions efficiently and with a maximum ROI. They possess a wealth of experience in assessing and identifying business requirements and are knowledgeable in working with complex technical environments.
General Service offerings include:
In case you feel a facilitator and business guide can help you in managing your business, do give us a call to know more about how we could be your partners in progress.
to know how we can help you set up a Data Analytics framework in your organisation or strengthen your current data analytics efforts.
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