Data Platform: consulting and implementation of AI-enhanced modern data platforms in the cloud
Deploy a modern data platform in the Cloud to maximize the value of your data and anticipate tomorrow's uses.
Modernize your Data approach and meet new challenges by developing a flexible and agile approach thanks to the power of the Cloud
In a world where digital transformation has become a business imperative, Cloud Data Platforms now occupy a central role in enabling organizations toeffectively leverage their data for competitive advantage. A Data Platform is not just a storage space: it's an integrated environment where data can be collected, centralized, transformed, analyzed and shared in real time, flexibly and securely.
Developing and deploying such a platform brings many benefits, such as reduced infrastructure costs, scalability according to business needs, better collaboration between teams through self-service, and above all, accelerated innovation capacity thanks to Artificial Intelligence and Machine Learning. By leveraging a Data Platform, companies can rapidly convert their data into actionable insights to innovate, optimize their operations and better serve their customers.
AI is also transforming the user experience of Data Platforms, with conversational interfaces that enable business teams toquery their data in natural language. These Natural Language to SQL (NL2SQL) capabilities, already emerging on the market, are rapidly evolving to offer democratized access to data without prior technical expertise, revolutionizing real-time decision-making.
ABOUT US
Deploy your Cloud Data Platform with Micropole
As an expert in data enhancement for over 30 years, Micropole is the ideal partner to help you develop your data platform. Our teams have led large-scale Cloud projects for renowned companies, and have recognized expertise in the consulting, development and implementation of AI-enhanced Cloud data platforms. With Micropole, you'll benefit from end-to-end support, from the design of your data strategy to its complete technological implementation.
PROFITS
Our strengths in the Cloud and Data Platform market
When you call on Micropole to deploy your Data Platform Cloud, you gain access to cutting-edge expertise, combined with an in-depth understanding of data issues.
Thanks to the integration of AI services offered by hyperscalers and our expertise in parameterization and industrialization, we can transform your Cloud Data Platform into an engine of innovation, speed and performance.
Full coverage
We cover the entire data value chain, from strategy to technology implementation, including organizational transformation and the integration of advanced AI solutions. Our consultants ensure smooth and efficient integration of the Data Platform into the corporate ecosystem.
Data pioneer
Micropole is a leader in data enhancement. Our expertise enables us to stay at the forefront of Data, Cloud and AI technologies in order to anticipate market developments. We offer high-performance, sustainable solutions, tailored to the challenges of each customer.
Long-term project experience
We have unique expertise in managing long-term projects with CAC40 companies. This experience enables us to understand the specific needs of major corporations, and to provide high-quality support for their Data and Cloud projects, with a long-term strategic vision.
Business-oriented approach
Beyond the technology, we have a detailed understanding of the business challenges: we help teams to mature in order to make informed decisions. We are convinced that digital transformation depends on seamless integration of the Data Platform into the IT landscape and business processes, for a direct and measurable impact.
In-depth AI expertise
Artificial intelligence is transforming the way your data platforms are designed and operated. It accelerates the deployment of architectures, the production of data transformation chains, and automates and optimizes the development of data pipelines. With Micropole, you benefit from unique expertise in integrating and parameterizing AI services from leading hyperscalers, tailored to your context, code base and urbanization patterns.
OUR OFFER
Our Cloud Data Platform expertise
We support companies that have chosen to modernize their data environment by providing them with unique, proven skills, enabling them to easily identify opportunities for development and cost optimization. Thanks to our expertise in both consulting and operational deployment, and our mastery of the most innovative tools on the market, we are involved at every stage of their project.
Our consulting approach is based on 5 pillars: Purpose, People, Platform, Process, Performance.
It is by adopting a cross-functional transformation approach across these 5 pillars that we succeed in increasing our customers' data and AI maturity, focusing on business value, adoption and return on investment.
Our consulting approach: a unique A2C methodology
Our comprehensive, pragmatic approach is divided into 4 phases.
Exploration & design
We bridge the gap between use cases, business priorities and technology. We identify high-impact AI use cases and design architectures ready for intelligent integration. We support you in deploying the technical solution, thanks to our technological expertise and in-depth knowledge of the state of the art in Data and AI.
Redefining the Data vision
Mobilization
Acceleration
We capitalize on these new achievements and deliver case studies at scale, while measuring the ROI of the transformation project. By integrating artificial intelligence into our methods and tools, we significantly reduce design, development and deployment times, accelerating go-to-market.
OUR REFERENCES
They trust us
OUR PARTNERS
A partner ecosystem with leading cloud providers
At Micropole, we see the Cloud and the deployment of Data Platforms as a strategic lever for accelerating business. Drawing on our expertise and our partnerships with market-leading suppliers, we support our customers with a proven approach that combines innovation and personalization.
CONTACT
Get a head start: entrust your Cloud projects to us
"By combining the power of modern Cloud solutions with the richness, diversity and volume of available data, companies can radically improve their operational efficiency, strengthen their competitive edge and offer novel customer experiences. Thanks to its unique expertise, Micropole supports organizations in their data transformation to maximize these opportunities."
Partner & Director COE
Partner Cloud4Data
Harness the potential of new uses for Data and AI
Rapidly evolving technologies are driving a profound transformation in the way data is used, opening up unprecedented possibilities for companies to innovate and optimize their activities.
Artificial Intelligence and Machine Learning
Advances in AI and machine learning are transforming the way data is analyzed and used. The rapid evolution of AI models is opening up new perspectives for decision-making. Tomorrow, companies will be able to go even further in the accuracy of predictive analyses, whether for sales forecasts, anticipating market trends or personalized recommendations. By integrating AI into your Data Platform Cloud, you can automate complex processes and leverage big data for faster, more informed decision-making.
Self-service data for business teams
Self-service is becoming standard in organizations, enabling business teams to find and analyze the data they need without having to go through IT. Thanks to self-service tools, each employee becomes autonomous in data exploration, which accelerates innovation and strengthens business agility.
Real-time data processing
Access to real-time data has become essential for reacting to market developments, customer behavior and operational fluctuations. With a well-structured Cloud Data Platform, companies can capture, process and analyze data streams in real time, paving the way for ever more responsive and personalized strategies.
BUSINESS CHALLENGES
Discover our guides to meet your business challenges
ACTUS
The latest Cloud Data Platform news
EXPERTISE
Our other expertise that might interest you
Articulate your digital transformation around Data and AI, unleashing, enhancing and combining their full potential within your organization.
Discover our offers according to your business profile
CONTACT
Stay one step ahead with Micropole
Our experts are on hand to guide and support you in implementing your Cloud, Data & AI transformation project.
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Your questions
Why does a company need a Data Platform?
A Data Platform provides a central access point to corporate data, making it easier to access, use and analyze, enabling faster, more reliable decision-making. A Data Platform can be instantiated in the Cloud or On Premise.
What are the benefits of a Cloud Data Platform for my company?
- Accessibility: data is available at all times, to all players accredited by the company.
- Scalability: the ability to adapt quickly to variations - both increasing and decreasing - in data processing and storage resource requirements.
- Security: the foundation for managing the operational guarantee of accessibility (PRA), as well as advanced protection (RBAC, encryption, ...) and regulatory data compliance (RGPD, SOC 2, ...).
- Cost optimization: prioritizing OPEX vs CAPEX, pay-as-you-go and easy decommissioning, and reduced on-site infrastructure.
- Innovation: ease of implementation of new DataSets to prototype and deploy new ideas (e.g. AI and Machine Learning to fully exploit data).
What are the criteria for choosing a Data Platform?
The best Data Platform depends on your needs and several criteria:
- Business needs and specific use cases
- Compatibility with existing IT ecosystems
- Capacity flexibility and scalability of services offered
- Cost management (subscription, maintenance, training)
- Data governance and security requirements
What are the main Cloud Data Platform providers (AWS, Azure, GCP, etc.)?
- AWS (Amazon Web Services): integrating applications such as AWS Redshift, AWS S3, AWS Database Migration Service, AWS Sagemaker.
- Microsoft Azure: integrating applications such as Microsoft Fabric, Azure Data Lake, Azure SQL Database, Azure ML.
- Google Cloud Platform (GCP): integrating BigQuery, Google Cloud Storage, Gemini and Looker applications.
- Other solutions : Snowflake, Databricks.
To find out more, take a look at our guide to choosing a cloud solution, its tools and technological trends for data platform migration, or get in touch with our experts.
How does a Data Platform facilitate data access, integration and analysis?
A Data Platform centralizes data from different sources (ERP, CRM, IoT, etc.), and automates their integration and transformation to suit specific uses. It provides advanced analytical tools to visualize and exploit information in real time.
How can you guarantee data security and governance on a Cloud Data Platform?
- With strict access and authentication policies.
- SecurityByDesign and LeastPrivilege design.
- Thanks to data encryption in transit and at rest.
- By monitoring and auditing access and modifications.
- By complying with regulatory standards (RGPD, HIPAA, ISO 27001, etc.).
- Via metadata and data catalog management.
What are the challenges involved in migrating to a Data Platform and how can you overcome them?
- Technical complexity: choosing the right migration strategy (lift & shift, refactoring, hybridization).
- Define final service objectives and how to measure them: SLO, SLA, SLI.
- Team adoption: train users and support them through the changeover.
- Cost and ROI: accurately estimate the expected financial and operational gains.
- Data quality: measure data quality before migration, and define a remediation plan for the project phase.
What is the return on investment (ROI) of a Cloud Data Platform?
- Reduced infrastructure and operating costs.
- Improved productivity thanks to optimized data management.
- Better decision-making based on real-time insights.
- Accelerating innovation through integration with AI and advanced analytics.
How do you integrate existing corporate tools (ERP, CRM, BI, etc.) with a Data Platform?
- Using APIs - in real time or batch ;
- Native connectors for interfacing ;
- With the implementation of ELT (or even ETL) in Near Real Time or micro-batch mode;
to ensure consistent data flow.
An important point is the definition of a data model adapted to the company's specific needs. This model can also include a dedicated "Business Intelligence" area for exploiting insights.
What are the best practices for effective data management on a Data Platform?
- Structure data according to business use cases.
- Automate data integration, transformation and cataloguing.
- Implement data governance and quality policies.
- Continuous monitoring of performance, quality and safety.
- Train teams for optimal adoption.
How can a Data Platform improve data performance and scalability?
Thanks to its cloud-native architecture, a Data Platform can manage massive volumes of data, optimize analytical queries and dynamically adjust resources according to needs.
What role do artificial intelligence and machine learning play in a Data Platform?
- It automates analysis and detects trends.
- It enables forecasting and optimization of operational performance.
- It personalizes its recommendations and user experience.
- It detects fraud and anomalies in real time.
- It improves data management and quality.
How does Micropole support its customers in deploying and optimizing their Data Platform?
- By carrying out an audit and defining a Data Platform strategy tailored to the company's needs, using proven methods (A2C and Data Thinking approaches);
- By integrating technological solutions (AWS, Azure, GCP, Snowflake, Databricks, etc.);
- Through the deployment and migration of data and processes in full compliance ;
- With optimized performance and data governance ;
- By training and supporting teams in the adoption of tools.
