This whitepaper, “Garbage in, Garbage Out – How We Got Here and Why We Must Get Out Now,” from our friends over at Profisee, reflects on why the state of data in most organizations is as dismal as it is, and why there is such a challenge involved in demonstrating the value of trusted data available across mission-critical operations and analytics in an enterprise.
Garbage in, Garbage Out – How We Got Here and Why We Must Get Out Now
December 9, 2020 by Leave a Comment
Why CRM and Data Warehouses Fail with Customer 360
November 30, 2020 by Leave a Comment
This whitepaper, “Why CRM and Data Warehouses Fail with Customer 360,” from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the insurance industry, do not manage customer-related data well. The core elements of this type of data fall into a discipline called Master Data Management (MDM).
Garbage in, Garbage Out – How We Got Here and Why We Must Get Out Now
November 19, 2020 by Leave a Comment
This whitepaper from our friends over at Profisee, reflects on why the state of data in most organizations is as dismal as it is, and why there is such a challenge involved in demonstrating the value of trusted data available across mission-critical operations and analytics in an enterprise.
Why CRM and Data Warehouses Fail with Customer 360
November 19, 2020 by Leave a Comment
This whitepaper from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the insurance industry, do not manage customer-related data well. The core elements of this type of data fall into a discipline called Master Data Management (MDM).
Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data
November 9, 2020 by Leave a Comment
In this white paper,”Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data,” our friends over at Profisee discuss how Master Data Management (MDM) will put your organization on the fast track to automating processes and decisions while minimizing resource requirements, while simultaneously eliminating the risks associated with feeding AI and ML data that is not fully trusted. In turn, your digital business transformation will be accelerated and your competitive edge will be rock solid.
Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data
November 4, 2020 by Leave a Comment
In this white paper, our friends over at Profisee discuss how Master Data Management (MDM) will put your organization on the fast track to automating processes and decisions while minimizing resource requirements, while simultaneously eliminating the risks associated with feeding AI and ML data that is not fully trusted. In turn, your digital business transformation will be accelerated and your competitive edge will be rock solid.
Mastering the Internet of Things with Master Data Management
August 7, 2020 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses how many organizations have struggled to harness the IoT’s scale, size, and speedy datasets for a cogent business use case justifying investing in this expression of big data. If the principal challenge is making sense of this continually generated streaming data in real-time, the solution is unequivocally as straightforward as it is effective: Master Data Management.
Meeting the Demand: Containerizing Master Data Management in the Cloud
July 31, 2020 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper suggests that perhaps no other single entity has done more to spur cloud adoption rates than Salesforce has. By democratizing Customer Resource Management (CRM) with this architecture, the ubiquitous CRM vendor considerably popularized the movement of shifting data, applications, and attendant tools like Master Data Management (MDM) offsite.
