Breakfast in America

Byteworks

PassePartout Services

LICTER

Glance data

Fyce Tech

ISquare

adalab

Fada Collectif

Tyrscale

Hyperstack

Sypher

LumosAI

BCG Gamma

<ul><li>Audit of current supply chain process : costs, timing &amp; performance issues</li><li>Gathering of all data in a central data platform : ingestion of data hosted in Excel into a centralized data platform </li><li>Development of an IA model to optimize the supply chain process (selection of providers, factories, transportation, planning of timing &amp; quantities of ordering)</li><li>Set up of the new supply chain process based on the IA tool : help ramp-up of the supply team on the new tool</li></ul>

Transformation of supply chain process in FMCG
6 months mission as a Data scientist 

Data Engineering

Data science

Data vizualization

Supply chain optimization in FMCG

Mention

<ul><li>Definition of strategy to cope with lack of reliability of the data platform</li><li>Review of the whole data modeling strategy in order to create data self-service</li><li>Implementation of the new modeling with the teams : peer coding with the data teams to create new data model on DBT</li><li>Set up of project management best practices (agile methodology)</li><li>Coaching of the team in the project management &amp; hard skills aspects</li><li>Creation of the company data culture : training of operations departments in data analytics, with self-service data easily available for all</li><li>Creation of a set up of key dashboards for finance &amp; customer success teams</li></ul>

Coaching of existing data team to improve reliability & governance of the data tools

Data analysis

Data strategy @start-up

sunday

<ul><li>Definition of data strategy business &amp; technically-wise</li><li>Implementation of the data technical stack : data ingestion, transformation, analytics, dashboarding, monitoring</li><li>Set up of data governance &amp; data mesh to ensure availability &amp; quality of data for everyone in the company</li><li>Creation of the company data culture : training of all departments in data analytics, with self-service data easily available for all.</li><li>Construction of the strategic vision on data products : identification &amp; prioritization of data use cases, project management </li><li>Recruitment &amp; management of a 10 persons team</li></ul>

Head of data at sunday, tech start-up of QR code payment
2 years as a full-time head of data

Data strategy & stack set up for tech start-up

<ul><li>Audit of current assortment process : its performance issues, time loss issues</li><li>Development of a custom IA model to generate a personalized assortment by shop </li><li>Set up of the new assortment tool : pilot on 10 shops, improvment of the IA model following on-the-ground feedback, communication on the tool &amp; review of current process to switch to the automated process</li><li>Final gain : +12% of margin generated</li></ul>

Transformation of the assortment process of a retailer with 500 shops nation-wide
1 year mission as a data scientist

Assortment optimization in retail

<ul><li>Strategic analytics on current CRM valorization : audit of current process &amp; tools, evaluation of current performance. Quantitative analytics on client base, CRM actions efficiency &amp; estimation of potential to unlock.</li><li>Definition of a new strategy for personalized &amp; automated marketing : campaigns &amp; audience targeting automation</li><li>Creation of the data platform to build the automation tool : centralization &amp; cleaning of customer data </li><li>Construction of an AI model to target customers &amp; personalize communications for marketing campaigns</li><li>Launch of pilot campaigns &amp; assessment of results : creation of a dashboard to monitor ROI of solution and performance of the new campaigns</li></ul>

Valorization of the CRM of a telecom company with personalized marketing
Mission of 6 months as a Data scientist 

Other CRM

Personnalized CRM with AI

McKinsey & Company

<ul><li>Support a leading French Retailer to update its 5-year business plan reflecting Covid-19 disruption (e.g., increasing share of e-commerce, shift in consumer's preferences) and identify operational impact ( e.g., network and capacity of warehouses)</li></ul>

Finance

Strategy Consulting

Strategy review of a leading French Retailer

<ul><li>Challenge the 5-year global business plan of a leading Beauty group to assess the additional investment required to reach new heights (e.g., +25% and +50% turnover target in 5 years)</li></ul>

Marketing Strategy

Strategy review of a global Beauty brand

<ul><li>Accompany a leading omnichannel French Apparel player to review its organization, process, and tools in order to gain market shares versus digital pure players</li></ul>

HR Strategy

Transformation of a French leading Apparel player

Welcome to Glance's collective! We leverage our triple expertise in retail, data science and data security to help you make the most out of your data and make smarter business decisions. Thanks to our previous experiences in tier-1 consulting firms (McKinsey, BCG Gamma) and startups (Doctolib, Sunday) we know how to help you leverage your data, from a hard and soft standpoint (training, change management, etc.).We are used to work with the latest data tools used in the tech industry. Finally, we have built our expertise in data security, working with healthcare and payment data.We would be happy to discuss about your project and see how we can help you. Do not hesitate to reach out ! Best, Vanessa and Claire

Business Strategy Consultant

Head of data

Get an unified view of your performance across channels and geographies

Performance at a glance

Understand market & competition trends by analyzing your competitors' trends and updates

Competitive intelligence

Track your portfolio mix and performance to optimize your assortment by categories and see your portfolio evolution. 
Analyze product launches, discontinuations, limited life & key shopping moments. 

Portfolio analytics

Measure your marketing Return on Investment and plan future actions for your different distribution channels. 
Identify cannibalization risk and run scenarii in a click.

Marketing analytics

Get to know your customers base and their behaviours to best address their needs. 
Segment your customer cohorts and identify their basket mix, repeat rate and recruiting products. 

Customer analytics

Assess retailers and/or shop performance at the relevant granularity for you.

32 collectifs