Data is the fuel for the modern enterprise, and with data collection exploding, companies are increasing their investments in data integration in order to deliver rich digital experiences and actionable insights across their business.
IBM Consulting works with you to create a strategy and build out your ideal data estate, regardless of technology investments. Our end-to-end data consulting services help align your data strategy to a go forward architecture, with considerations for governance and autonomous management built in. We embed the power of data across critical workflows, adding AI and automation at specific points of impact.
We bring processing and data storage closer to where it is needed, improving the experience, overall agility and business performance. Our data analytics, AI, and industry experts work together, across a diverse partner ecosystem, to simplify the complex and solve your specific data challenges securely, at scale.
Rapidly define and prioritize a specific AI use case that will deliver value in 6 weeks or less.
acceleration in data delivery time via advanced data engineering and data integration¹
increase in ROI due to self-service data consumption and collaboration²
productivity improvement across your teams utilizing AI and machine learning technologies¹
Design a data strategy to support your virtual enterprise strategy. Configure and extend data for all functional use-cases, including transactional analytics and reporting, data science, digital and operational.
Become a data-driven organization and put your data to work as a competitive advantage with data fabric architecture. Provide users access to the right data at the right time regardless of where it resides.
Transform your data on any cloud, including application and infrastructure partners like IBM, Adobe, AWS, Microsoft, SAP or Saleforce—helping to modernize, drive adoption and performance.
Empower your business with the latest advances in AI, machine learning and automation to support the full data science lifecycle—from preparing and exploring data to building, deploying, managing and monitoring models.
Transform critical data from supply chain, finance, talent and sustainability data into valuable insights using visualization tools such as Salesforce Tableau, IBM® Cognos® and Microsoft Power BI.
The UK Ministry of Defense centralized finance data with robust data governance practices and deployed data visualization tools that improved operational efficiency and decision making.
To help customers solve complex problems that require data from disparate sources, Shell and IBM decided to offer integrated data and digital solutions across the mining supply chain.
Unlock the value of data and leverage AI to deliver real-time, personalized experiences for your customers with Adobe Experience Platform.
As a premier AWS consulting partner, IBM helps clients accelerate adoption of AWS Cloud for data, analytics and AI.
IBM helps clients tailor a highly secure, hybrid multicloud journey to Microsoft Azure, including application development, migration, modernization and management.
IBM uses proven ERP methodologies to help organizations create custom roadmaps that lower costs, increase agility and improve results.
Enable seamless integration between the Salesforce CRM Analytics platform and IBM big data and analytics solutions to integrate data, unlock insights and co-create innovation at scale.
Read this useful guide for building a data-driven organization and driving business advantage
Explore this new series of perspectives with insights from businesses earning trust with data and AI
Explore IBM’s multidisciplinary, multidimensional approach
Create intelligent workflows that use AI, data and risk analytics to turn AI aspirations into tangible business outcomes.
Digitize and automate workflows. Automation with AI enables your entire organization to be always-on, optimizing operations to provide seamless business continuity.
Reinvent BPO models using automation, AI and cloud to achieve operational transformation.
People, process and technology are the foundations of a data-driven organization and need to be closely aligned for long-term success. Consider these questions to make sure you're on the right track as you work toward your vision.
Data fabric and data mesh are meant to address the organizational change and complexities of working with enterprise data in a hybrid multicloud ecosystem. Find out how they relate to data management and simplify data access across workloads.
Data is more pervasive than ever. Take advantage of its full potential with creativity and conviction by following these useful tips such as aligning your data, building and enabling teams, adopting the right technology and more.