Jun 14, 2022 11:00 AM
Posts about Customer and party data
Oct 11, 2021 3:00 PM
To make money from data requires insightful data.
Data monetization is generally understood as the “process of using data to obtain quantifiable economic benefit” (Gartner Glossary, Data Monetization). Three typical ways to achieve this, include:
- Using data to make better decisions and thus enhance your business performance
- Sharing data with business partners for mutual benefit
- Selling data as a product or service
Apr 8, 2021 3:00 PM
The importance of data integrity in delivering an optimal digital experience for customers
Shopping behaviors shifted dramatically last year as consumers adopted more digital tactics across the entire shopping journey. Many consumers engaged in digital activities throughout the shopping process such as researching and purchasing products online or selecting different delivery options. These retail trends are here to stay, according to a McKinsey survey, which found that 71% of apparel shoppers and 66% of grocery shoppers who used digital shopping services for the first time during the Covid-19 crisis will continue to do so after it ends.
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Mar 31, 2021 3:49 PM
Five steps to unlock the value of your data and achieve compliance, using approved data management principles
As your company’s connected and online business activities increase, so does the data generated by these interactions. But, how are you using this data? Are you harnessing the insights it imparts to increase sales or launch new products? If not, why not? This post gives you 5 steps on how to improve your data management efforts.
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Dec 27, 2021 1:45 PM
In my previous post, I discussed the next evolution of CRM, which involves using master data management as the foundation to provide a comprehensive understanding of your target audiences. I covered data issues present in many CRMs today, including missing, antiquated and inaccurate data, and how master data management can help overcome them. In this post, I reveal the many ways complete, unified customer data improves business outcomes and delivers value to organizations and customers alike.
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Dec 19, 2020 1:45 PM
Every day, businesses around the world deploy customer relationship management (CRM) in the hopes of selling faster and smarter, building engaging experiences, delivering personalized messages and more. In fact, the CRM sales software market grew by 10.9% to register an overall revenue of $17.5 billion in 2020, according to Gartner.
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Nov 19, 2020 2:45 PM
Financial services institutions, such as banks and insurance companies, rely on transparency of their customer master data and product master data to capitalise on a number of industry trends
Master data management plays a critical role in ensuring data transparency. Master data management therefore enables you to leverage the customer and product master data – that you already have – to address and drive revenue from these current trends in the financial services industry.
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Nov 8, 2020 1:24 PM
It’s quickly approaching that critical time of year for retailers. Marketers are finalizing their campaigns to attract more consumers into their stores – and to shop with them online – this holiday season. A survey conducted by The Harris Poll/OpenX estimates that holiday spending will be up 5% this year compared to last year, with online shopping accounting for more than 50% of all purchases.
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Oct 29, 2020 3:27 PM
What’s the most important thing in real estate? According to the old saying: location, location, location. But the sentiment can also be applied to enterprise master data.
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Jul 21, 2020 2:30 PM
Unified and enriched customer information can enhance your data analytics and provide actionable customer insight for corporate and investment banks
Relationship managers need insightful customer information upon which they can take action. Sometimes a single piece of unique information can give relationship managers in corporate and investment banks the edge they need to decide how to move an opportunity forward, or indeed avoid being exposed to risk. The availability and trustworthiness of that piece of information relies on the quality and richness of the data that is being analysed.
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