How are you managing the alarming velocity of data creation?
Master Data Governance links all critical business data to a single point of reference, ensuring data consistency across the business, and its use in essential processes. The common challenge for large organizations is that the data forming this single reference is often incorrect or incomplete. AI provides a mechanism to enable businesses to address these deficiencies at scale by helping fill these gaps.
Master data management is crucial for organizational success
To make valuable, effective, business-critical decisions, you need a trusted single view of your data with clear master data governance to ensure it stays that way, without it, you are likely to encounter:
Operational Inefficiency
Poor data management leads to errors, redundancies, and inconsistencies, causing delays and inefficiencies in business operations.
Increased Costs
Bad data management results in higher costs due to the need for data cleaning, and corrections well as potential fines for regulatory non-compliance.
Compromised Decision-Making
Inaccurate and unreliable data can result in flawed business strategies, missed opportunities, increased potential of financial and reputational risk, and a loss of competitive advantage.
Average data volume growth every month
of companies are experiencing limitations in leveraging data due to speed of data volume growth
companies estimate that 50%-90% of their data is unstructured, causing delays in analytics projects
of business leaders intend to improve master data governance in preparation for AI projects
Master data governance drives value
Data alone holds inherent value. Data governance helps organizations unlock that value by ensuring information is managed effectively. Investment in data governance will give you high-quality, trusted, and compliant data that becomes the foundation of many business-critical scenarios:
ERP Migration
Data Mapping and Master Data Governance review increases ROI of new or transitioning ERP projects by providing accurate and consistent data
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AI readiness
Data completeness and accuracy is a foundation of AI. Data accuracy from MDM will support the realization of AI initiatives more quickly
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Merger and Acquisitions
MDM facilitates seamless integration by standardizing and consolidating large volumes of disparate data.
Improve Catalog Accuracy
Master Data Governance overcomes internal procurement catalog issues where thousands of records can be duplicated or inaccurately categorized against a poor taxonomy. AI can optimize the accuracy and ongoing management of internal catalogs to ensure cost savings, time efficiencies and employee uplift of decentralized procurement teams.
Increased Regulatory Compliance Requirements
MDM helps maintain compliance, mitigate risk, facilitate stringent reporting and avoid penalties
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Realize Cost Savings
Cost reduction strategies rely
on clean data
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The Data Quality Management Journey
1. Create a Data Governance Strategy Review relevant business goals, define data ownership, identify reference data sources and align the data governance strategy KPIs
2. Extract, transform, and load (ETL) review, rationalise and consolidate data from multiple sources using a set of business rules to clean and organize data
3. Classify and Categorize master data Classify data against the relevant taxonomy or internal catalogue structure to facilitating targeted analysis, allowing businesses to make strategic decisions based on organized and relevant data insights.
4. Rich Data Visualization Present data in intuitive, interactive data dashboards, accessible to global teams to aid decision-making
5. Develop and refine data processes Establish an iterative process of continuous improvement
6. Training We train your team to maintain master data governance and deliver results
(RobobAI can manage this for you)
7. Ongoing - RobobAI will provide platforms to enable ongoing management of reference data and support customer requirements to integrate to target platforms.
Why RobobAI?
RobobAI have deep data processing and analysis teams coupled with AI technology that enable us to deliver successfully for our customers. We utilise AI capabilities to enable faster data improvement and help companies find missing data to provide the best foundation for business outcomes.
The 3 key reasons our customers choose RobobAI
1. We utilise AI technology to improve outcomes at scale. Our ability to leverage AI to rapidly improve, augment and classify large volumes of data.
2. We work at speed. We have a proven track record in delivering improved data quality outcomes in short time frames.
3. We offer competitive pricing.
Partnering with RobobAI means unlocking the full potential of your supply chain function. We're committed to delivering measurable results that enhance your bottom line and fuel long-term growth.
A: As a standard, RobobAI use UNSPSC, the United Nations product and service classification system. We also use a number of industry specific taxonomies.