• AWS Cloud

  AWS Cloud

  One of the main cloud platforms in the market

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  AWS is the broader cloud platform in the world, offering over 200 full datacenter services worldwide. With AWS, you can create, deploy and escalate applications quickly and safely to attend to your every need.

  Currently, it’s the main option in cloud platforms for artificial intelligences, databases, machine learning and serverless implementations.

• Microsoft Azure

  Microsoft Azure

  Cloud environments inside Microsoft's ecossystem

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  Azure is Microsoft’s cloud platform, offering a broad range of services and resources to attend the needs of companies of all sizes and areas. With Azure, you can create, deploy and escalate applications quickly and safely.

• Google Cloud Platform

  Google Cloud Platform

  Google's cloud solutions platform

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  Google Cloud Platform and its Anthos platform are working to break down the budgets of digital transformation. Meanwhile, the cloud provider is looking to expand its key sectors, such as retail and financial services.

  Its focus is on innovation, focusing on adopting the latest technological advances available for cloud environments.

• Databricks

  Databricks

  Unify Data Warehouses and AI use cases into a single platform

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  The Databricks Lakehouse Platform combines the best of data lakes and data warehouses to provide the reliability, strong governance, and performance of data warehouses, the flexibility, and machine learning support of data lakes.

  This unified approach simplifies your modern data set, eliminating the data silos that traditionally separate and complicate data engineering, analytics, BI, data science, and machine learning. It is built on open source and open standards to maximize flexibility. And its common approach to data management, security, and governance helps you operate more efficiently and innovate more quickly

• Teradata

  Teradata

  Empowering the era of data analytics

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  One of Teradata’s standout features is its ability to process and analyze data at scale, which is essential for modern organizations that need to make informed decisions based on insights from a wide range of data sources. The Teradata platform offers advanced parallel processing, optimized storage, and query optimization features, allowing businesses to execute complex analytics efficiently and quickly.

  In addition, Teradata embraces the era of advanced analytics, providing features for predictive analytics, data mining, and machine learning. This allows businesses to explore hidden trends, identify valuable patterns, and make more informed decisions based on concrete data. The combination of advanced analytics and scalability makes Teradata an attractive choice for businesses that are looking for innovation and tangible results.

• Salesforce

  Salesforce

  Empowering the era of data analytics

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  Salesforce is a cloud-based CRM platform that can help your business improve how you interact with your customers. By streamlining your sales team, creating a 100% personalized customer service experience, and running 360-degree multichannel marketing campaigns, you can gain complete control over your actions and the status of your goals. All of this is in addition to being able to grow in a controlled and scalable way in all areas of your business.

  This platform allows you to centralize communications with your customers while obtaining progress and status reports, using different cloud providers that make up the Salesforce universe.

• Power BI

  Power BI

  Build the bridge between data and decision-making

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  Power BI makes it easy to connect to a variety of data sources and visualize your key performance indicators (KPIs) through easy-to-customize reports.

  Power BI is also a leading data visualization tool. It has a user-friendly interface that is familiar to those who are used to working with Microsoft solutions. This makes it easy to implement self-service BI in businesses, as users can easily build their own reports.

• SAS

  SAS

  Discover how SAS helps you explore, analyze, and visualize your data

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  SAS is a statistical institute that provides a set of analytics solutions for use in various market areas. These solutions allow users to manage and retrieve data from various sources, and perform a variety of operations on that data, including data management, statistical analysis, business modeling, report building, quality improvement, application development, data transformation, and data extraction.

  SAS has a wide variety of solutions from different areas of data analysis. Jump Label is a company that specializes in data analytics and has professionals who can help your company make the best decisions based on your large volume of data.

• SAP

  SAP

  Key SAP solutions for the world of Data Analytics

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  SAP Business Technology Platform (SAP BTP) brings together intelligent applications with data management, database, analytical functions, integration, and extension capabilities into a single platform for hybrid and cloud environments. This platform includes hundreds of pre-integrated integrations for SAP and third-party applications.

  Analytical solutions are a key part of SAP BTP, enabling users to gain real-time insights through Machine Learning, AI, Business Intelligence, and augmented analytics capabilities. These solutions can be used to analyze past and present situations, and to simulate future scenarios.

  SAP offers a variety of products to meet the needs of different businesses and industries. These products include SAP Analytics Cloud for Business Intelligence, SAP BusinessObjects Business Intelligence (BI) Suite, SAP Data Warehouse Cloud, SAP BW/4HANA, and SAP Analytics Cloud for Planning.

• AWS Cloud
• Microsoft Azure
• Google Cloud Platform
• Databricks
• Teradata
• Salesforce
• Power BI
• SAS
• SAP

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