Data Platform: Consulting and implementation of AI-augmented modern data platforms in the cloud

Modernize your data approach and address new challenges by developing a flexible, agile approach through the power of the Cloud

In a world where digital transformation has become a business imperative, Cloud data platforms now occupy a central role, enabling organizations to effectively leverage their data to gain a competitive advantage. A Data Platform is not simply a storage space: it is an integrated environment where data can be collected, centralized, transformed, analyzed and shared in real time, in a flexible and secure way.

Developing and deploying such a platform brings numerous benefits: reduced infrastructure costs, scalability aligned with business needs, better team collaboration through self-service, and above all, accelerated innovation capacity through Artificial Intelligence and Machine Learning. By relying on a Data Platform, companies can quickly 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 through conversational interfaces that allow business teams to query their data in natural language. These Natural Language to SQL (NL2SQL) capabilities are evolving rapidly to offer democratized access to data without prior technical expertise, revolutionizing real-time decision-making.

Our Cloud Data Platform expertise

We support organizations that have chosen to modernize their data environment by providing them with unique, proven skills, enabling them to easily identify development opportunities and cost optimization levers. Through our expertise combining consulting and operational deployment, as well as our mastery of the most innovative market tools, we intervene at every stage of their project.

Our advisory approach rests on 5 pillars: Purpose, People, Platform, Process, Performance.

By adopting a cross-functional transformation approach through these 5 pillars, we successfully increase our clients' data and AI maturity, focusing on business value, adoption and return on investment.

Discover our guides addressing your business challenges

Talan helps you identify and visualize your organization's challenges for the years ahead. Discover our guides to ensure the success of your data platform migration to the Cloud.

FAQS

Your questions

Why does a company need a Data Platform?

A Data Platform provides a central access point to company data, making it easier to access, leverage and analyze, enabling faster and more reliable decision-making. A Data Platform can be deployed in the Cloud or on-premises.

What are the benefits of a Cloud Data Platform for my organization?

• Accessibility: data is available at any time, to all authorized users across the organization
• Scalability: the ability to quickly adapt to variations in data processing and storage resource needs
• Security: operational accessibility guarantee (disaster recovery), advanced protection (RBAC, encryption, etc.) and regulatory data compliance (GDPR, SOC 2, etc.)
• Cost optimization: OPEX vs. CAPEX prioritization, pay-as-you-go billing, ease of decommissioning, and reduction of on-premise infrastructure
• Innovation: ease of implementing new datasets to prototype and deploy new ideas (AI and Machine Learning to fully leverage data)

What are the criteria for selecting a Data Platform?

The best Data Platform depends on your needs and several criteria:

• Business needs and specific use cases
• Compatibility with the existing IT ecosystem
• Capacity flexibility and potential for service evolution
• Cost management (subscription, maintenance, training)
• Data governance and security requirements

What are the leading Cloud Data Platform providers?

• AWS (Amazon Web Services): AWS Redshift, AWS S3, AWS Database Migration Service, AWS Sagemaker
• Microsoft Azure: Microsoft Fabric, Azure Data Lake, Azure SQL Database, Azure ML
• Google Cloud Platform (GCP): BigQuery, Google Cloud Storage, Gemini, Looker
• Other solutions: Snowflake, Databricks

For more information, feel free to consult our guide on choosing a cloud solution, its tools and technology trends for data platform migration, or contact our experts directly.

How does a Data Platform facilitate data access, integration and analysis?

Data Platform centralizes data from various sources (ERP, CRM, IoT, etc.), automates their integration and transformation, and provides advanced analytics tools to visualize and leverage information in real time.

How do you ensure data security and governance on a Cloud Data Platform?

• Strict access and authentication policies
• SecurityByDesign and LeastPrivilege design principles
• Encryption of data in transit and at rest
• Monitoring and auditing of access and modifications
• Compliance with regulatory standards (GDPR, HIPAA, ISO 27001, etc.)
• Metadata management and data catalogs

What are the challenges of migrating to a Data Platform and how do you overcome them?

• Technical complexity: choosing an appropriate migration strategy (lift & shift, refactoring, hybridization)
• Defining final service objectives and their measurement methods: SLO, SLA, SLI
• Team adoption: training users and supporting them through the change
• Cost and ROI: accurately estimating the expected financial and operational gains
• Data quality: measuring data quality before migration and defining a remediation plan

What is the return on investment (ROI) of a Cloud Data Platform?

• Reduced infrastructure and operating costs
• Improved productivity through optimized data management
• Better decision-making based on real-time insights
• Accelerated innovation through integration with AI and advanced analytics

How do you integrate existing company tools (ERP, CRM, BI, etc.) into a Data Platform?

• APIs in real time or batch mode
• Native connectors to interface systems
• ELT (or ETL) in Near Real Time or micro-batch mode for consistent data flow
• A data model adapted to the company's specific characteristics, potentially including a dedicated Business Intelligence space

An important consideration is defining a data model adapted to the company's specific characteristics. This modeling can also include a dedicated Business Intelligence space for leveraging 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 cataloging
• Implement data governance and quality policies
• Ensure continuous monitoring of performance, quality and security
• Train teams for optimal adoption

How does a Data Platform improve data performance and scalability?

Through a cloud-native architecture, a Data Platform enables the management of massive data volumes, optimization of analytical queries and dynamic adjustment of resources based on needs.

What is the role of Artificial Intelligence and Machine Learning in a Data Platform?

• Automates analysis and detects trends
• Enables forecasting and optimization of operational performance
• Personalizes recommendations and user experiences
• Detects fraud and anomalies in real time
• Improves data management and quality

How does Talan support its clients in deploying and optimizing their Data Platform?

• Audit and definition of the Data Platform strategy using proven methods (A2C and Data Thinking approaches)
• Integration of technology solutions (AWS, Azure, GCP, Snowflake, Databricks, etc.)
• Deployment and migration of data and processing in full compliance
• Performance and data governance optimization
• Team training and support in tool adoption