Leverage AI for Effective Master Data Management

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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.

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How AI Transforms Supply Chain Intelligence: A Collaboration Between Info-Tech & RobobAI

Watch here as Info-Tech Research Group explores how RobobAI’s AI-powered platform leverages machine learning and automation to classify, consolidate, and visualize enterprise spend data. Learn how AI-driven supply chain analytics can enhance cost efficiency, risk mitigation, and ethical sourcing for global organizations.

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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 as well as potential fines for regulatory non-compliance.

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Compromised Decision-Making

Inaccurate and unreliable data can result in flawed business strategies, missed opportunities, increased potential for financial and reputational risk, and a loss of competitive advantage.

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:

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

Activate the full potential of your data with RobobAI

Discover how Master Data Governance and AI can transform your business data management. Partner with RobobAI to ensure data consistency and address data deficiencies at scale.

Master data governance drives value

Data alone holds inherent value. Data governance helps organizations unlock that value by ensuring that 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 \nData Mapping and Master Data Governance review increases ROI of new or transitioning ERP projects by providing accurate and consistent data.

AI readiness \nData completeness and accuracy are the foundations of AI. Data accuracy from MDM will support the realization of AI initiatives more quickly.

Mergers and Acquisitions \nMDM facilitates seamless integration by standardizing and consolidating large volumes of disparate data.

Improve Catalog Accuracy \nMaster 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 \nMDM helps maintain compliance, mitigate risk, facilitate stringent reporting and avoid penalties.

Realize Cost Savings \nCost reduction strategies rely on clean data.

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 facilitate 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).

  1. Ongoing: RobobAI will provide platforms to enable ongoing management of reference data and support customer requirements to integrate with target platforms.

Why RobobAI?

RobobAI has deep data processing and analysis teams coupled with AI technology that enables 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.

Common Master Data Governance Q + A

As a standard, RobobAI use UNSPSC, the United Nations product and service classification system. We also use a number of industry specific taxonomies.

Yes, we often work to custom classification and catalog systems, at additional effort. Please contact us to discuss further.

Data cleaning is essential to remove errors, inconsistencies, and outliers from data, ensuring that analysis is based on accurate and reliable information. It is recommended as the first stage of ERP migrations or AI projects. GIGO—Garbage In, Garbage Out. Start with clean data to improve insights and the ability to make informed, data-driven decisions.

We use AI in several ways to help improve the quality and accuracy of data. This includes data classification, web crawling capabilities and others.

We can work with most industry-standard ERP environments, including SAP, Oracle and Dynamics365 as examples.

Yes, where required, RobobAI utilizes custom ETL workflows that allow us to aggregate data from multiple sources into a single aggregated data set.

We utilize tools that allow us to easily aggregate data from multiple sources into a single consolidated data set. We provide our clients with a simple template format that specifies the data elements required.

RobobAI is an ISO 27001-certified company. We take data security seriously and have policies and procedures in place to minimise risks. All customer data is hosted within our own tenancy.

From an example set of 350k lines of spend data, consolidating, cleansing, classifying, and categorizing data would typically take 5 business days. Dependencies that require additional time include scenarios such as the need for extensive data wrangling, custom taxonomy, or catalog structure.

RobobAI offers a managed service that includes AI maintenance and data validation, or we can train your team via functionality in the RobobAI platform.

Harness the value of your data today

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.