Fast Track AI ML and IoT Initiatives with Master Data Management
Master data management can help drive successful enterprise initiatives with artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT).
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Get an overview of Profisee's cloud-native modern MDM platform — and learn why we're the obvious choice for master data management. Learn More
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Enforce governance rules & activate metadata
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Create trusted golden records for your business
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Master data management can help drive successful enterprise initiatives with artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT).
If you want to succeed with MDM, you need to be problem-minded first, not solution-minded. At Profisee, we call it understanding the ‘Why’. If you don’t know the problem you are trying to solve or the opportunity you want to enable, how can you know if the solution you implement will work for your organization, or if the solution will even solve your problem (the one that you didn’t even know you had)? As the great philosopher Yogi Berra said, “if you don’t know where you are going, you’ll end up someplace else.”
In this blog, Harbert explains the role of the value consultant at Profisee and how the Business Impact Roadmap (BIR) is designed to help organizations justify the investment in MDM.
Many companies believe the myth that they have to be “ready” before they can begin their MDM journey. In the blog, Bill O’Kane sets out to bust this myth.
As we have entered the era of the 4th Industrial Revolution , the number of companies who have heavily invested in digital transformation has almost doubled in the last two years.
Invest in Data Cleanup for AI-Driven Digital Transformation.
The fact that there’s plenty of data easily within the CIO’s reach doesn’t necessarily translate into definable value for the company.
As data-driven marketing continues to have an exponentially increasing role in modern-day sales and marketing, many companies plan to increase their budgets for data-driven marketing. The challenge in the increasing importance of data-driven marketing lies with creating actionable information from a largely scattered customer data landscape.
In the business world, you often hear references to the “Total Lifetime Value of a Customer,” the meaning of which sometimes varies. One permutation of lifetime value is calculated on an aggregate basis across all of your customers, answering the question, “What is the average value of a newly obtained customer?” The Aggregate Lifetime Value can be calculated based on simple financial metrics including revenue, profit, and customer retention.
CRM solutions are advertised to provide a single source of truth for customer information. So why do I STILL need a data management strategy when implementing or migrating my CRM solution?
Hear product experts showcase key Profisee features and answer questions live from the audience.
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