Systems | Development | Analytics | API | Testing

Platterz helps cultivate happy workplaces by creating delicious food experiences to offices across the country. To do this, the business intelligence team at Platterz is on a never-ending mission to derive important insights from the multitude of data at their fingertips. Platterz had the data and the world’s best visualization tool - Looker - but they needed a way to organize the data seamlessly in a way that was optimized for their teams.

Mall Group, the leading e-commerce group in Central Europe, recently employed Keboola to streamline operations and accelerate growth. In a matter of months, Keboola’s platform enabled Mall Group’s individual teams to become much more autonomous as well as accelerate feature development, testing, and deployment.

Platterz helps cultivate happy workplaces by creating delicious food experiences to offices across the country. To do this, the business intelligence team at Platterz is on a never-ending mission to derive important insights from the multitude of data at their fingertips. Platterz had the data and the world’s best visualization tool - Looker - but they needed a way to organize the data seamlessly in a way that was optimized for their teams.

How do you create a business dashboard that’s meaningful and immediately accessible to anyone who views it? Here, dozens of marketing pros share their tips.

Consultancy firms and system integrators are starting to productize analytics. They’re creating turnkey solutions for customers and adding value to them by offering managed services. If you’re thinking of creating an analytics solution for your customers, there are three things you need to think about when choosing a BI vendor to partner with.

The retail landscape is in the midst of a dramatic, data-driven renaissance. New tools help to build new connections — between consumers and retailers, and across supply chains. Data analytics and machine learning further these connections to better understand and predict customer behavior and improve demand forecasting. In this emerging era of smart retail, organizations have access to a range of powerful new capabilities and tools.

Raise your hand if you’ve ever heard that “data-driven companies make more money”. McKinsey started beating that drum half a decade ago. Financial Times wrote extensively about the topic. Google even commissioned a multi-year study from Boston Consulting Group (BCG), which showed that “best-in-class digital marketers benefit from 1.4 times greater cost benefits and up to 2.5 times revenue impact” after implementing analytics to drive their business growth.

Most of the day to day work for knowledge workers is spent helping the business make better decisions, like choosing whether it’s worth expending the effort (or actual money) to achieve the desired business goal. The example I often use when talking about ML is churn prediction (and I’m starting to think I’m overusing it now). It costs money to retain a customer who is thinking of moving, but this is less than the cost of getting new customers.

In February 2017, I was out on a routine training ride when I made a turn on loose gravel. Next thing I knew, I was laying on the pavement. Just like that, I broke my hip and collar bone, and I knew I woudn’t be able to race in the Ironman Lake Placid that year. So, I adjusted from racing to recovery. And, I’m happy to report, I returned to racing in 2019, completing the Ironman Lake Placid that year.

100+ marketers share the SEO competitor analysis tips and tools for understanding your competitor’s strategy and outranking them in search engines.