BUSINESS EXPERTISE
IA & Data intelligence
Thanks to data, it is now possible for a new player to take control of the value of a market by controlling the customer relationship and optimizing the management of operations. These new entrants then cause the traditional players to lose the primacy of the customer relationship and its added value: as soon as one player in a sector moves on the issue of data, the whole sector is affected. While traditional players have strong assets (brand, legitimacy, customer base, assets, etc.), their awareness of the potential of data and its anchoring in decision making remains heterogeneous. The opportunities are many, but it is clear that the transition to scale is still a long way off for some companies.
Data, the strategic game changer in B-to-C and B-to-B
Our knowhow
DATA GAME CHANGE
Become more aware of the potential of your data
Data is a powerful force in business, transforming everything it touches: customer relationships, jobs, processes, decision making, and business models. To realize its full potential, organizations must take a proactive approach to transforming the way they do business. Think big, start small, move fast...
Our game-changing data projects
We work with our clients to make them aware of the potential of data. We identify the resources that need to be activated in their markets. Our services include training seminars, a data diagnosis of the value chain and an initial assessment of the human, financial and technological resources needed.
For the past 20 years, data technologies have been accelerating and providing new ways to collect and use data. Today, companies have access to an increasing variety of data, especially under the influence of e-commerce, customer knowledge, and networked technologies. Information systems are being organized in ERPs to consolidate and better link data. At the same time, the use of data has changed in dimension. The cloud makes it easy to get computing and storage capacity. Advanced statistical approaches are proliferating, and artificial intelligence is opening a new frontier in the ability to make data talk. The potential of data is enormous, but often goes untapped. The difficulty? Successfully capturing that data and leveraging it by integrating it quickly and with the right level of ambition into an existing activity.
Leverage data to streamline decision-making
OPERATIONAL USE CASE
Create a competitive advantage based on data science
Our operational use case data science projects
We use data to help our clients make better decisions in areas such as promotion policy, pricing, traditional marketing mix optimization, cross-sell/up-sell, assortment optimization, rotation optimization, purchasing, key account management, customer acquisition... By building complex simulation models based on fine granularity of data, with systematic de-averaging to distinguish effects and models, and propose target scenarios. Discover our specific approach to data science in the consumer goods industry.
Optimizing a large apparel company's promotional policy
The promotion policy was redesigned at Kéa. Based on an inventory of internal discounts and market practices, our teams built and tested a pilot project and then a discount implementation roadmap to generate immediate ROI on one of the group's 10 brands.
Developing pricing for a business-to-business brand
Kéa has carried out a big data analysis of our client's and market's tariffs and actual prices before implementing a new public pricing methodology, considering price elasticity and windfall effects. After measuring the impact of the new network through statistical modeling, we contributed to its operational implementation.
Rare are the events that can be called "game changers" in the life of an organization. Data is one of them. Because it amplifies strategy, operating models, and businesses, data is a major strategic opportunity for the next 10 years. It's also a necessity, attainable by all companies, that can't be missed in a world in full digital transformation. You need to imagine, build and industrialize your data sector from a significant existing one, appropriate it, live with it through an intensive transformation of current professions and operating methods. Even consider your current competitors as future partners. Data is also a lever of corporate responsibility to be activated in 4 areas: commitment and trust, value sharing, decision control and serendipity. So many issues to anticipate in order to better organize your data strategy.
Take a different approach than traditional IT sectors to avoid the pitfalls
INDUSTRIALIZATION OF THE DATA SECTOR
Imagine, build and industrialize the data sector in the service of strategy
Our data industrialization projects
We work with our customers in 4 areas to gradually reach an industrial capacity goal:
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The strategy by putting data at the heart of the company
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The proofs (MVP, base construction, etc.)
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Scale-up to develop industrial capabilities (transformation of professions, business model, operational models and processes, cognitive factory, etc.)
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Operation (base MCO, resources and governance, periodic model review, etc.)
Data strategy to support an MRO service platform for an industrial company
Kéa supported the definition of the data strategy: after analyzing the risks and opportunities associated with this initiative (business and financial issues, intermediation risk), our teams designed various strategic options (service offering & channels) and then developed the marketing roadmap (algorithm development plan, operational model sizing, OPEX, CAPEX, organizational impact).
Data strategy for a major international bank's global transaction payment services
Kéa's role was to help define and map out an enterprise data strategy through to 2025, to engage and align different business units, and to identify business opportunities for new business or operational models through to that date. At the same time, our teams helped to accelerate the awareness and cultural change of the management.
Two-sided platforms are the business models that capture the most value and generate colossal margins compared to "traditional" business models. They are massive, scalable and allow you to develop a planetary business in a short time. Present in almost all sectors, they are constantly evolving and can be found both in B-to-B (hotels, commerce, tourism, luxury, leisure, etc.) and B-to-C (advertising, logistics, industry, services, etc.). The development of two-sided platforms has changed the rules of the game for entire sectors of the economy. When an opportunity to create a two-sided platform is identified, we help our clients to analyze the opportunity (business and financial issues, intermediation risks, overview of current initiatives on the market), to design the service offer, to choose the right "distribution" scenario (maximizing value while limiting intermediation), to prepare the implementation and the conditions for the operation of the platform.
Platforms are today's most powerful economic assets
TWO-SIDED PLATFORMS
Benefits of two-sided platform setup
MEET OUR TEAM
We partner with our clients on their data journey by helping them think about the strategic nature of data for their business: decision making and management, improvement of existing business models, new or additional business, market disruption...
We help our clients select their use cases to provide innovative and differentiating answers to a set of their operational problems that are likely to generate a short-term ROI.
Discover Veltys, our subsidiary specializing in data science, which can help you develop and manage your data business.
How we support our clients
After a joint venture in 2017 with Euclyd, a specialist in strategy and digital acceleration, Kéa continued its strategic shift in French technology by forging a partnership in 2018 with Veltys, a consulting firm specialized in data science. .
The unique approach developed by Kéa and Veltys combines strategy and action, organizational transformation and data techniques at the service of companies, with solid expertise based on strong links with research in econometrics and statistics.
Together, we support companies in various fields, from awareness to industrialization:
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Advanced Analytics : optimization of operations, development of turnover and industrialization of the future data sector.
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Deep Learning & Artificial Intelligence: adopting new technologies to respond to needs such as predictive purchasing behavior, dynamic optimization of resources under constraints, fraud detection, etc.
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Two-sided platforms: accompanying companies in their transition from the traditional model to that of a platform company.
OUR LATEST PUBLICATIONS & INSIGHTS
After a joint venture in 2017 with Euclyd, a specialist in strategy and digital acceleration, Kéa continued its strategic shift in French technology by forging a partnership in 2018 with Veltys, a consulting firm specialized in data science. .
The unique approach developed by Kéa and Veltys combines strategy and action, organizational transformation and data techniques at the service of companies, with solid expertise based on strong links with research in econometrics and statistics.
Together, we support companies in various fields, from awareness to industrialization:
-
Advanced Analytics : optimization of operations, development of turnover and industrialization of the future data sector.
-
Deep Learning & Artificial Intelligence: adopting new technologies to respond to needs such as predictive purchasing behavior, dynamic optimization of resources under constraints, fraud detection, etc.
-
Two-sided platforms: accompanying companies in their transition from the traditional model to that of a platform company.