Data governance is the set of rules and practices that ensure information is accurate, consistent, and used responsibly within an organization. It is like a well-organized library system that keeps track of all the books, making sure they are correct, easy to find, and used properly. For investors, strong data governance helps ensure that the information they rely on is trustworthy and decisions are based on reliable data.
data literacytechnical
The ability to read, interpret and use numbers and charts to draw reliable conclusions, like using a map to find the best route. For investors, strong data literacy means you can judge whether a company’s results, growth claims or market trends are meaningful or misleading, spot risks or opportunities that aren’t obvious from headlines, and make clearer, more confident decisions about buying, holding or selling stocks.
real-time change data capturetechnical
Real-time change data capture copies and delivers only the updates made to a database as they happen, so other systems see the latest information immediately without re-sending entire records. Like a live scoreboard or bank alert that shows only the score or transaction that just changed, it helps traders, risk systems and financial reporting stay synchronized, reducing delays and errors and enabling faster, better-informed investment and compliance decisions.
generative aitechnical
Generative AI is a type of computer technology that can create new content, like text, images, or music, on its own. It’s important because it can produce realistic and useful material quickly, which could change how we create art, write stories, or even develop new products. Think of it as a smart robot that can invent and produce things almost like a human.
large language models (llms)technical
Large language models (LLMs) are advanced computer programs trained on massive amounts of text to generate, summarize, translate and understand human-like language. For investors they matter because LLMs can act like a very fast, experienced research assistant—automating customer service, speeding product development and cutting costs—while also creating new revenue opportunities and regulatory, accuracy and ethical risks that can affect a company’s profits and reputation.
data meshtechnical
Data mesh is an organizational and technical approach that treats data as a product owned by the teams closest to the business area that produces it, rather than centralized IT. Think of replacing one central library with many well-run neighborhood branches: it speeds access, makes data more accurate and usable, and reduces bottlenecks. For investors, a data mesh can enable faster, more reliable insights, lower operational risk, and potentially quicker business scaling and cost efficiencies.
generative business intelligence (genbi)technical
A set of AI-powered tools that read a company’s raw data, combine and analyze it, and then generate readable insights, forecasts, visual summaries and reports—like a smart assistant that turns messy spreadsheets into clear briefings. Investors care because genBI can speed up decision-making, reveal hidden trends or risks faster, and lower research costs, but its outputs should be checked for errors or biased assumptions just as you would verify any advisor’s work.
Organizations prioritize data quality, hybrid solutions as they seek partners for AI deployments that deliver business results, ISG Provider Lens® report says
SÃO PAULO--(BUSINESS WIRE)--
Enterprises in Brazil increasingly are engaging with service providers to implement AI solutions with strong governance, cost control and other capabilities, according to a new research report published today by Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm.
The 2025 ISG Provider Lens® Advanced Analytics and AI Services report for Brazil finds that Brazilian organizations in multiple industries are attracted to AI by the promise of automation and productivity gains but have grown to recognize the need for outside expertise to ensure deployments deliver sustainable returns on investment. Data governance, data literacy and predictable costs have taken on strategic importance.
“Brazilian enterprises are recognizing that AI value depends on disciplined data practices,” said Kathy Rudy, partner, ISG Data, Analytics and Technology Office. “To realize the full potential of AI, they are now adopting data procedures that have not been top of mind due to competing priorities.”
While companies in Brazil want to deploy AI at scale across many processes, unsuccessful AI experiments around the world have raised awareness about the need for proper data governance to ensure accuracy and business value, ISG says. As a result, organizations are seeking providers with strong methodologies for implementing data quality and governance platforms. They are adopting solutions including automated data quality, which automates data cleaning and validation for training AI models, and Real-time Change Data Capture, which continuously integrates multiple data sources for rapid analysis.
In many Brazilian enterprises, generative AI is being used along with traditional machine learning and structured data queries in user-friendly hybrid systems, ISG says. By layering natural-language interfaces on top of existing tools in solutions such as generative business intelligence (GenBI), companies are making analytics capabilities easily available to more roles throughout the organization.
Companies in Brazil are also investing in data literacy training for their internal data teams to improve the odds of success for advanced analytics and AI initiatives, ISG says. In some cases, enterprises build relationships with providers through these initiatives as they gain an understanding of the provider’s expertise.
Concern about the cost of cloud services and large language models (LLMs) has emerged as a critical factor for Brazilian enterprises selecting providers for AI and analytics deployment, ISG says. Companies place a high priority on transparency and FinOps capabilities to help ensure costs are predictable and manageable.
“Enterprises in Brazil are aligning governance, architecture and analytics maturity to launch AI from experiment to business asset,” said Marcio Tabach, lead author of the report. “Those that establish strong foundations are better positioned to translate AI investments into consistent performance improvements.”
The report also explores other trends affecting advanced analytics and AI adoption in Brazil, including the growing importance of responsible AI practices and the emergence of the data mesh model as the dominant trend in data architecture.
For more insights into the advanced analytics and AI-related challenges faced by enterprises in Brazil, plus ISG’s advice for overcoming them, see the ISG Provider Lens® Focal Points briefing here.
The 2025 ISG Provider Lens® Advanced Analytics and AI Services report for Brazil evaluates the capabilities of 49 providers across four quadrants: Data Science and AI Services — Large, Data Science and AI Services — Midsize, Data and Analytics Modernization Services — Large and Data and Analytics Modernization Services — Midsize.
The report names Accenture, AI/R, BRQ, Cadastra, Capgemini, Dataside, Deal, Deloitte, IBM, MadeinWeb, NTT DATA, Quality Digital, Rox Partner, Stefanini and TIVIT as Leaders in two quadrants each. It names A3Data, BlueShift Brazil, Dedalus, Falconi, Objective and Peers as Leaders in one quadrant each.
In addition, BIP, Dadoteca, Minsait and Peers are named as Rising Stars — companies with a “promising portfolio” and “high future potential” by ISG’s definition — in one quadrant each.
In the area of customer experience, Capgemini is named the global ISG CX Star Performer for 2025 among advanced analytics and AI services providers. Capgemini earned the highest customer satisfaction scores in ISG's Voice of the Customer survey, part of the ISG Star of Excellence™ program, the premier quality recognition for the technology and business services industry.
The 2025 ISG Provider Lens® Advanced Analytics and AI Services report for Brazil is available to subscribers or for one-time purchase on this webpage.
About ISG Provider Lens® Research
The ISG Provider Lens® Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG's global advisory team. Enterprises will find a wealth of detailed data and market analysis to help guide their selection of appropriate sourcing partners, while ISG advisors use the reports to validate their own market knowledge and make recommendations to ISG's enterprise clients. The research currently covers providers offering their services globally, across Europe, as well as in the U.S., Canada, Mexico, Brazil, the U.K., France, Benelux, Germany, Switzerland, the Nordics, Australia and Singapore/Malaysia, with additional markets to be added in the future. For more information about ISG Provider Lens research, please visit this webpage.
About ISG
ISG (Nasdaq: III) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data, in-depth knowledge of provider ecosystems, and the expertise of its 1,600 professionals worldwide working together to help clients maximize the value of their technology investments.
