Operational Inefficiency
Poor data management leads to errors, redundancies, and inconsistencies, causing delays and inefficiencies in business operations.
MASTER DATA MANAGEMENT
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.
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:
Poor data management leads to errors, redundancies, and inconsistencies, causing delays and inefficiencies in business operations.
Bad data management results in higher costs due to the need for data cleaning, and corrections well as potential fines for regulatory non-compliance.
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.
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
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.
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:
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.
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.
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.