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Tag: #Growth

Redslim expands its global footprint into Latin America

By mengshan.chen

Redslim, a specialist in end-to-end data management solutions, today announced its expansion into the Latin America (LATAM) region, marking the next step in its growth strategy to support multinational brands and retailers across every major market. Following its recent expansion into APAC, this move reinforces Redslim’s momentum in building a truly global presence.

How Redslim helps CPG companies win at the shelf (physical and digital)

By reka.toth

For most consumer-packaged goods (CPG) companies, visibility, placement, and product performance – both on the physical and on the digital shelves – are probably the strongest predictors of how they compare to the competition. Yet, many of them struggle to cut through the noise of competing products, shifting consumer preferences, and fragmented retail ecosystems. The key to winning at the shelf lies in data.

Top trends in Data Harmonization to watch in 2026

By mengshan.chen

As we look ahead, future trends in data harmonization are reshaping how leading consumer packaged goods (CPG) and consumer health care (CHC) companies manage their data. It’s no longer enough to align basic attributes like product category or brand name. The new trend is all about sophistication, scalability, and intelligence.

Retail media’s turning point: Why data harmonization is now the commercial backbone of measurement

By mengshan.chen

Retail media has become one of the most influential channels in global advertising, with brands now investing over $150 billion annually. For CPG and Consumer Healthcare manufacturers, retail media is no longer a nice-to-have optional budget line; it has become a strategic lever, influencing portfolio visibility, price negotiations, and even SKU survival on retailer

From data overload to actionable insights: How to bridge the gap?

By reka.toth

Analytics teams find themselves at a paradoxical crossroads. They’ve got more data than ever but still struggle to find actionable insights and convert raw data into strategic decisions. Because AI is rapidly changing the industry and business demands are shifting, leaders are questioning the way research teams operate and what they deliver.