🚀 Driving growth through collaboration

Internal and external collaboration around aligned objectives with integrated, user-friendly systems is probably one of the most significant opportunities for many retailers. This is an area where hashtag#datasapiens excels.

🔎 In our latest article, we investigate collaboration's tremendous opportunities and benefits. In our experience, successful collaboration can add 0.4+ pp to a retailer's margin, that's $8.4 million incremental profit pa for a $2 billion retailer.

💡 Discover the levers and profit drivers, from insights monetisation and margin mix management to basket growth, store staff incentives, and more.

🤝 Engagement around aligned objectives, supported by shared insights, drives profitable growth. Growth comes from enabling retailers to make effective, customer-centric decisions and take action. Fast.

Don't let disjointed data systems hold your business back. Break down the silos and collaborate with integrated, easy-to-use solutions. Read more in our article and start collaborating today.

#collaboration #retailinsights #retailgrowth #decisionintelligence #retailinnov

🔍 Redefining Retail Through Strategic Technology 🔍

In our reflection on "Technology in Retail: Escaping the Complexity Trap" by Bain & Company, we share insights from datasapiens on navigating retail's tech frontier.

🛠️ From our experience, adopting a modular tech architecture, like Home Depot and Walmart, and partnering with specialized vendors are crucial to innovation and scalability. These strategies empower retailers to make informed decisions, driving growth and enhancing customer satisfaction.

🚀 Explore our take on the strategic importance of technology in retail and how it paves the way for efficiency and competitive advantage.

Join us in embracing the tech transformation journey. #RetailInnovation #TechStrategy #FutureReady

🌟 Beyond Data: How datasapiens is Innovating with AI for Smarter Insights 🌟

We're thrilled to share insights from our latest initiative at datasapiens: enhancing our business intelligence solutions by integrating Large Language Models (LLMs) 🤖. Our recent blog outlines the potential of LLMs to transform data analytics, offering a glimpse into our Proof of Concept 🧪and its promising results.

Discover the whole story and our future outlook on leveraging AI for advanced customer insights in the blog post.

We value your thoughts—let's discuss the role of LLMs in your industry. 💡🤝

Price, Promotion and Assortment are arguably the most important levers to drive growth, improve profitability and engage customers. Applicable across an expanding store portfolio or omni-channel environment, it is critical that the customer is at the heart of the decisions associated with these levers. In this article, explore how to put the customer at the centre of these decisions, and how this translates to profitable growth.

Misaligned data from disjointed systems delay decision-making.

The speed of retail means that thousands of decisions are made across the business daily. Critical decisions to drive growth, from buying and assortment to price and promotions to loyalty and customer management, often depend on misaligned data from disjointed systems. Compounding the matter is that these systems are often not user-friendly.

Up to 85% of data projects fail.

Experts estimate that data analytics projects fail at a rate ranging from 60% to 85%.

There are several reasons why data analytics projects fail. Some of the most common causes include:

Are you struggling in Mexico's dynamic retail market? Your solution is here: datasapiens and Strat Hunters. We're not just partners; we're your pathway to transformation and sustained success.

Our colleague Dian has been with us for almost 2 years. It’s time to get to know him better and take him under the spotlight. 

The digital advertising landscape is a dynamic industry. Retail media defines a relationship between retailers, brands, and consumers. Digital advertising space, retail data assets, and in-store opportunities curated by retailers. It presents an opportunity for brands to execute targeted and impactful advertising campaigns. In datasapiens, we are always aiming to improve the retailer's package. Read some of our thoughts on how we help retailers crack the world of retail media.

In retail, the art of assortment planning has long been a critical factor in determining success. Traditionally, the focus has been on financial metrics such as sales, units sold, and stock holding. However, the often unseen and underestimated impact of these decisions lies within customer satisfaction and loyalty.  

In the world of retail analytics, defined segments like loyalty (RFM), price, lifestyle, shopping missions, churn, and demographics have long been the cornerstones of customer targeting. While undeniably valuable, they come with their own set of limitations.

In the world of business, two distinct cultures emerge. The well-established corporate world and the agile startup realm. These cultures influence day-to-day operations, decision-making processes, and growth strategies. Based on a recent internal survey, we unearthed some insights from our coworkers. The vast majority of our team has both prior corporate and startup experience.

Being an agile and process-driven startup stands at the core of datasapiens. We strive to provide the best solutions for retailers. This approach helps us to adapt to the ever-changing retail landscape.

datasapiens and TogetherBC form a groundbreaking partnership. Our innovative solutions will reshape the retail landscape in Latin America. We will bring advanced data insights to Brazil, Colombia, Mexico, Peru, and others.

At datasapiens, we are grateful to have long-term clients who understand the power of data.

We appreciate working with industry leaders and early adopters. We are challenging each other, which brings our platform forward.

Our longest partnership is with BENU pharmacies. BENU is one of the two leading pharmacy chains in the Czech Republic. In 2022 BENU increased its turnover by 17% to 10.2 billion CZK (12.5 including franchise pharmacies). We have been collaborating since 2016.

During these past seven years, we developed a Business Intelligence platform together. We are constantly fine-tuning our product to keep pace with the business priorities.

Customer loyalty has long been measured using the RFM (recency, frequency, monetary value) framework, where spending and purchase frequency serve as proxies for loyalty. However, in today's dynamic retail landscape, characterised by omnichannel experiences and expanded customer analytics, it is essential to redefine loyalty. This article explores the limitations of traditional loyalty metrics, challenges posed by returns, the importance of customer profitability, and the potential to analyse sales and returns through an RFM lens to gain a more comprehensive understanding of customer behaviour. 

In the world of retail, the analysis of products and stores is often constrained by the rigidity of retailer and market hierarchies that hinder retailers and manufacturer partners from harnessing the full potential of their data.

At datasapiens, we recognised this challenge and developed Dynamic Attribution, a ground-breaking application in the datasapiens Advanced Insights Platform that allows users to add granular information and attributes to products and stores, empowering them to unlock valuable insights and seize new opportunities. In this blog post, we delve into the transformative power of Dynamic Attribution and its wide-ranging applications.

During our recent business trip to the vibrant city of Bangkok, we discovered a treasure trove of delightful experiences that we'd love to bring back home.

We travelled to Bangkok to tighten our business relations & form new bonds. However, we also wanted to explore the local market further. To gather insights while enjoying the city's unique charm. To analyze the daily life on these bustling streets.

In today's fast-paced, data-driven world, understanding your customers has never been more critical for retailers.

Traditional customer segmentation methods include “young families”, “healthy individuals”, or “pet lovers”.

You may argue these no longer provide the insights needed to drive success. Instead, retailers should adopt a dynamic, individualized approach to customer attribution.

It should recognize the uniqueness of each customer and the ever-changing nature of their attitudes, interests and behaviours.

In this blog post, we'll explore why dynamic customer attribution is essential for retailers and how it can lead to more effective marketing strategies and improved business performance.

The sushi principle is grounded in the idea that raw data is better than cooked data, just as raw fish is better than cooked fish in sushi. With raw data, the data is the ingredient, meaning you can cook it in as many different ways as you like, as many times as you like.

This is different to processed or aggregated data. You can't go back once the data has been “cooked” into a report! Imagine drilling through a category to find the source of a sales issue; you may discover the sub-category or SKU, but what is the impact at the customer or store level, and how does this vary over time?

The datasapiens Advanced Insights Platform is grounded in the sushi principle. 100% raw data, delivering instant, actionable insights for retailers.

Alex is the newest addition to our team. He joined us at the beginning of March. His addition resulted from our long-standing collaboration in the form of a partnership previously. He’s used to our ways of working and knows our platform & our team.  

Alex has a long career behind him, having worked in retail analytics for over 20 years.  

Let’s get to know Alex together.