Helping your organisation become data-driven

Helping your organisation become data-driven

Over the last few years, companies everywhere have realized that their data has the power to help them improve their bottom line. Data can be used to: make processes more efficient, create personalied shopping experiences for customers, and inspire innovation on the warehouse floor, among many other data-driven activities. However, to drive your data journey and make the most of your data you need to build a data science capability within your organisation. A data science capability means moving away from using data science for the occasional project and embedding it into your company culture.

This isn’t as easy as hiring a team of top notch Data Scientists and Engineers and letting them loose on your data. You need to put a strategy in place if you want to put that data to work for you in a meaningful way that aligns with your company goals.

Without a strategy, you risk wasting time and resource, which affects your bottom line and opportunities to strengthen your offering.

The Mango team have helped organisations across a range of industries around the world build their data science capability. The key is having the right team and the right guidance to ensure your analytics are in line with your objectives.

We work with organisations to:

  • Define business challenges
  • Find the optimal way to deploy data to drive decisions
  • Embed best practice
  • Assist data science teams to communicate with the rest of the business
  • Ensure you’re using the right analytical tools and environments
  • Hire the right people

Becoming a data-driven organisation

When you have a true data science capability, you can enjoy operations across the company that give you a larger return on your investment and deliver performance optimization on a new level. Instead of using analytics in rare circumstances, you can make it part of the DNA of your organization so you can make better decisions more often.

Data Engineering

You can have the best team in the world, but if you don’t have the right environment, performing useful data analysis is very difficult.

Our Data Engineers have an essential mix of IT know how and analytic skills. They use a variety of modern data technologies with languageslike Python and Rto build scalable data workflows and APIs. They ensure data is available at the right time, in the right format and with sufficient quality to empower analytics.

Every day, we’re helping companies around the world develop and maintain their data science capability. Contact us to discuss your data science requirements:

Data-driven coffee

Mondelēz International Inc. comprises the global snacking and food brands of the former Kraft Foods Inc. As such, it is the world’s largest chocolatier, biscuit baker and candy maker, and the second-largest maker of gum. Complementing the company’s Snacks portfolio are leading beverages brands like Tang and Jacobs, Carte Noire & Tassimo (for which Mondelēz International is the largest producer of powdered beverages and second largest coffee manufacturer.)

The Challenge
Prior to this engagement, Mondelēz International were using a customized Roast Coffee Blend Generator system, which was integrated into an S-PLUS menu system. Applications were conducted solely by Mondelēz International’s Statistics Department where the system was invented. The system has been hugely successful in the global coffee category, identifying optimal cost/quality blend change options; resulting in growth of share and significant cost saving. However, a desire to expand its user base beyond coffee manufacturing and an operating system upgrade meant that Mondelēz International needed to review upgrade options. The upgrade process would also need to allow for improvements to the current system and minimize license costs.

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Why choose Mango Solutions?

Mango has been empowering organisations to make informed decisions using data science and advanced analytics since 2002.

Mango Solutions have been empowering organisations to make informed decisions using data science and advanced analytics since 2002.