Posts about Data quality

Data management during mergers are a challenge to CIOs and IT leaders. They have to manage a doubled IT infrastructure and merge product data into a single product classification system.

Merging product data is important to reap the benefits of a business merger, including brand consistency, better customer experiences and operational efficiency.

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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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Increasing the value of your data is easy with master data management

Last year was a year of tremendous change for businesses and consumers, as they adjusted to the realities of life during a pandemic. Many consumers turned to apps to track diet, fitness and other personal goals with incredible detail, accuracy and consistency, often connecting them to wearable technology that captures data automatically (e.g., heart rate or steps taken).

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In times of global, business and economic uncertainty – when data points are changing on an hourly basis and supply chain responsiveness and flexibility are more critical than ever – being able to trust your company’s data is paramount.

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The business of product management requires innovation. And no matter what type of change that requires, from incremental to disruptive to radical, customers today expect brands to innovate. A Nielsen study reveals that 63% of customers value it when manufacturers offer new products. Moreover, innovation isn't merely a matter of raising your R&D budget. According to the consulting firm Booz & Company (now part of PwC), brands that invest heavily in R&D aren’t more innovative than those that don’t.

If customers expect innovation, and spending on R&D isn't a simple solution, what can companies do? That's where data makes a difference. By improving how you manage, share and enrich data that fuels your many business systems and workflows, you can eliminate inefficiencies and develop processes that drive a whole new level of innovation and business value. You apply more accurate, data-driven decision-making across the enterprise.

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For online retailers, one of the biggest challenges that directly impact the customer experience is inaccurate product data. If the image doesn’t match the description, reviews aren’t associated correctly, dimensions are inaccurate, or the description doesn’t live up to the actual product then chances are good that the product will be returned. This leads to additional costs for freight and extra handling and maybe even loss of customers. By consolidating and mastering your product data, product returns can be reduced by 25%, creating tremendous opportunities for cost savings and improving customer loyalty.

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Being an MDM manager certainly means being in demand and at the center of attention. The reason is as simple as it is awe-inspiring: as an MDM manager, you’re leading the charge for providing high-quality data, developing the master data strategy and overseeing system acquisitions and integrations. You collaborate with a variety of stakeholders – planners, program managers, product developers, marketing professionals, supply chain managers, senior management and executives. If your organization has a chief data officer (CDO), it’s likely your work contributes to the decisions that person is making.

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Marketing organizations need to be data-savvy out of one obvious reason: because consumers are savvy and impatient – and not very loyal.

To get on par with your customers, it sometimes takes a great deal of change management. Based on experience, I have compiled the following list of how to create a data-savvy marketing organization.

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Your organization, and organizations of any size, depends on the accuracy of its data to gain financial insights and improve marketing, sales and customer service. In fact, pretty much every department within your company will rely on data in some way. 

And if that data is inaccurate, hard to access or only tells part of the story, it can severely hamper operations across the business. Data errors can seriously impact relationships with customers, suppliers and business partners and result in significant financial loss.

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Recently, I arranged for a parcel to be shipped internationally. The online ordering and payment process was simple, and my package was scheduled to be collected from me and sent the next day; in time for the event it was intended. I thought I was pleased...

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