Data Management Journey
Data management is carried out by every business entity in one form or another. Be it through manual usage of spreadsheets or through high-end data analytics software.
Learn about the 5 stages of organizational data management journey below.
Experts have categorized the data management capabilities of an organization into 5 different stages. With our help any brand that belongs to the first stage can directly achieve the last stage, i.e. the most advanced stage.
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Stage 1
Brands that are at the first stage usually have manual maintenance standards for their master data. There is neither any visibility of the actual data sets present nor any defined workflow to it. The management is done through spreadsheet software and Excel. There is also absence of single view of products and suppliers across the enterprise.
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Stage 2
The ones at the second stage also show poor data quality along with multiple inconsistencies in the management of their data sets. There is lack of standardization in the management process and the data is neither defined nor has set rules to it.
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Stage 3
Brands that are at the third stage begin showing some aspect of consistency and accuracy in their data resources. However, they still lack proper inter-departmental data management as most of the management is performed through individual application systems. There are also traces of inaccuracy when it comes to connecting the data between different divisions and business units.
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Stage 4
At the fourth stage we begin to see the presence of unified master data and data resources are recognized as forces that enable business processes. But there are still problems regarding governing enterprise wide data management due to poor quality of resources.
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Stage 5
Brands at the fifth stage where smart data management takes place ensure properly governed and optimized data architecture. Customized master data objects are in place along with enterprise wide management processes. This ensures a constant improvement of the management process as well as creation of interconnected data resources.
The Process
Data Management
Our process begins with assessing three acute aspects of your organization in relation to data management – the people, the process, and the technology used. This allows us to identify the current stage of your organization on the data management journey, and thereby create a framework to achieve the quickest means to reach the final stage.
Our goal is to ensure that all the data in your organization is accessible, traceable, understandable, operable, and insightful.
Data Governance
While the task of the data management process is to ensure that all aspects of organizational data is handled through cutting edge systems; the task of data governance is to enhance the quality of the data that is being produced by your organization. In any data-driven business framework, data governance ensures that all aspects of the business process can be enhanced.
Our data governance process relies on the DAMA-DMBOK2 guide, and the entire process is highly personalized to ensure maximum quality control of masterOur goal is to ensure that all the data in your organization is accessible, traceable, understandable, operable, and insightful.Our data governance process relies on the DAMA-DMBOK2 guide, and the entire process is highly personalized to ensure maximum quality control of master
Advanced Analytics
The handpicked team at Ducens are adept at identifying the acute challenged within each organization through in-depth analytical processes. With 4 stages of assessment concentrating on data, AI, process, and technology, a thorough and KPI centric transformational framework is constructed.
Business frameworks created with the help of advanced analytics allows for swift data governance and management, thereby paving the path for hassle-free digital transformation.
Data Quality
From monitoring to assessment, cleansing to enhancement, Ducens is your one stop solution provider for all data quality operations. With our repeatable quality audit and certification process you can rest assured that all data-ops will be end-to-end verified.
Data Migration
With a single interface based process the assessment of data can be done on a weekly basis, thereby ensuring quick and quality migration. Our data migration process is inclusive of a data quality framework and cleansing strategy.
Data Ops
Our mission is to ensure that every client achieves self sufficiency in managing their data-ops. Hence, we have developed means to enable end-to-end data quality assurance, control, and audit capabilities with the help of our cutting edge tools. Your search for scalable and top-notch data services is at an end!
The Ducens Advantage
Every solution is customized, personalized, and scaled to meet your needs. No stock approach.
Our development process will always maintain your needs at the centre.
We engage in an agile workflow which rubs off onto your business process.
Our data based approach ensures solutions that build long term success.