At a Glance: Lead in the Age of AI, Start with Your Data
AI is only as powerful as the data it runs on. Inaccurate context, broken semantics, or outdated master data can turn automation from an advantage into a risk—costing companies millions each year in delays, errors, and lost trust.
SAP Business Data Cloud provides a trusted data foundation by preserving semantics, logic, and context of enterprise data. This eliminates manual data work, accelerates decision-making, and enables CFOs, COOs, and CIOs to act on accurate, contextual data.
Leading companies are already replacing manual workarounds with reusable data products, harmonized KPIs, and automated reconciliations. SAP Business Data Cloud is launching a hands-on webinar series to help organizations unleash speed, trust, and impact with their data.
Learn more:Getting Started Series: Experience SAP Business Data Cloud
Full article: Lead in the Age of AI, Start with Your Data
Imagine an AI that automatically optimizes pricing to clear inventory while protecting margins—without human input. Now imagine that AI running on inaccurate data: the wrong currency, outdated master data, or misaligned cost centers. Suddenly, automation isn’t an advantage—it’s a risk.
This is why data can no longer be treated as a back-office IT asset—it’s a strategic business capability. The companies leading in AI aren’t the ones with the most data, but the ones with the right data, at the right time, with the right context.
When Poor Data Foundations Impact the Bottom Line
According to Forrester, poor data quality costs organizations over $5 million annually. Even more alarming, 7% report losses of $25 million or more (Forrester, 2024). Gartner research reinforces this reality. In a 2020 study, Gartner found that poor data quality costs organizations an average of $12.9 million annually (Gartner 2020).
It’s rarely the volume of data that slows organizations down—it’s the lack of business context. Poorly managed master data, disconnected hierarchies, missing lineage, and duplicated logic all contribute to fragmented views that undermine trust, delay decisions, and increase cost.
The typical workaround? Manual fixes: recreating data context, writing custom scripts, and rebuilding SAP’s logic in other tools. These solutions are often fragile, expensive, manual and error prone. When systems change or org structures realign, the fixes can break—and IT has a new project all over again.
The result: every decision takes longer, and every delay carries a cost.
The consequences are real:
Product profitability becomes unreliable if cost and pricing data use different hierarchies Regional forecasting fails when customer hierarchies are inconsistent KPIs vary between teams because each is working with different assumptions
The impact on business leaders:
CFOs risk inaccurate forecasts, delayed closes, and loss in profits COOs waste time waiting on reconciling reports instead of driving execution CIOs / CDOs see mounting costs as teams duplicate work, rebuild logic, and rely on shadow systems
Leading companies are changing course—not by rebuilding data outside SAP, but by activating the trusted business logic already in place.
Unleash Speed, Trust, and Impact with SAP Business Data Cloud
SAP Business Data Cloud helps organizations turn fragmented data into a trusted foundation for decision-making. By unifying data across systems and preserving the business context that gives it meaning it significantly reduces the need for manual reconciliation or reengineering.
The result is now reversed because the data is accurate, and actionable, enabling faster execution, stronger alignment, and higher return on data investments.
How SAP Business Data Cloud strengthens enterprise data foundations:
Preserve context natively: context, semantics, logic, and hierarchies stay intact—no rework needed. Deliver trusted, reusable data products: Instead of manually preparing data for every model or report, teams can access governed, curated assets that reflect real business truth. Empower intelligent applications: With high-quality, harmonized data at their core, applications for planning, forecasting, sustainability, and operations drive insights where decisions happen real time—not after the fact.
Customer Transformation in Action
Discover how leading organizations are transforming their business with trusted data. Here’s a collection of customer testimonials showcasing how SAP helps companies tackle opportunities across industries—whether through modernization, real-time decision-making, or unlocking new growth powered by SAP Business Data Cloud.
SAP Featured Stories for Business Data Cloud
Experience SAP Business Data Cloud First-Hand:
To experience the power of SAP Business Data Cloud, join a hands-on webinar series designed to accelerate data strategies. Across a series of interactive modules, here SAP’s product and leadership teams guide participants through practical steps to unlock business value from their data.
Topics include:
Build and simulate outcomes with Intelligent Applications Accelerate AI innovation with SAP Databricks Create analytical models and data products in SAP Datasphere
Learn directly from some of the industry experts on how to turn data into a true business driver.
Learn more: Getting Started Series: Experience SAP Business Data Cloud
At a Glance: Lead in the Age of AI, Start with Your Data AI is only as powerful as the data it runs on. Inaccurate context, broken semantics, or outdated master data can turn automation from an advantage into a risk—costing companies millions each year in delays, errors, and lost trust. SAP Business Data Cloud provides a trusted data foundation by preserving semantics, logic, and context of enterprise data. This eliminates manual data work, accelerates decision-making, and enables CFOs, COOs, and CIOs to act on accurate, contextual data. Leading companies are already replacing manual workarounds with reusable data products, harmonized KPIs, and automated reconciliations. SAP Business Data Cloud is launching a hands-on webinar series to help organizations unleash speed, trust, and impact with their data.Learn more:Getting Started Series: Experience SAP Business Data CloudFull article: Lead in the Age of AI, Start with Your DataImagine an AI that automatically optimizes pricing to clear inventory while protecting margins—without human input. Now imagine that AI running on inaccurate data: the wrong currency, outdated master data, or misaligned cost centers. Suddenly, automation isn’t an advantage—it’s a risk. This is why data can no longer be treated as a back-office IT asset—it’s a strategic business capability. The companies leading in AI aren’t the ones with the most data, but the ones with the right data, at the right time, with the right context. When Poor Data Foundations Impact the Bottom Line According to Forrester, poor data quality costs organizations over $5 million annually. Even more alarming, 7% report losses of $25 million or more (Forrester, 2024). Gartner research reinforces this reality. In a 2020 study, Gartner found that poor data quality costs organizations an average of $12.9 million annually (Gartner 2020). It’s rarely the volume of data that slows organizations down—it’s the lack of business context. Poorly managed master data, disconnected hierarchies, missing lineage, and duplicated logic all contribute to fragmented views that undermine trust, delay decisions, and increase cost. The typical workaround? Manual fixes: recreating data context, writing custom scripts, and rebuilding SAP’s logic in other tools. These solutions are often fragile, expensive, manual and error prone. When systems change or org structures realign, the fixes can break—and IT has a new project all over again. The result: every decision takes longer, and every delay carries a cost. The consequences are real: Product profitability becomes unreliable if cost and pricing data use different hierarchies Regional forecasting fails when customer hierarchies are inconsistent KPIs vary between teams because each is working with different assumptions The impact on business leaders: CFOs risk inaccurate forecasts, delayed closes, and loss in profits COOs waste time waiting on reconciling reports instead of driving execution CIOs / CDOs see mounting costs as teams duplicate work, rebuild logic, and rely on shadow systems Leading companies are changing course—not by rebuilding data outside SAP, but by activating the trusted business logic already in place. Unleash Speed, Trust, and Impact with SAP Business Data Cloud SAP Business Data Cloud helps organizations turn fragmented data into a trusted foundation for decision-making. By unifying data across systems and preserving the business context that gives it meaning it significantly reduces the need for manual reconciliation or reengineering. The result is now reversed because the data is accurate, and actionable, enabling faster execution, stronger alignment, and higher return on data investments. How SAP Business Data Cloud strengthens enterprise data foundations: Preserve context natively: context, semantics, logic, and hierarchies stay intact—no rework needed. Deliver trusted, reusable data products: Instead of manually preparing data for every model or report, teams can access governed, curated assets that reflect real business truth. Empower intelligent applications: With high-quality, harmonized data at their core, applications for planning, forecasting, sustainability, and operations drive insights where decisions happen real time—not after the fact. Customer Transformation in Action Discover how leading organizations are transforming their business with trusted data. Here’s a collection of customer testimonials showcasing how SAP helps companies tackle opportunities across industries—whether through modernization, real-time decision-making, or unlocking new growth powered by SAP Business Data Cloud. SAP Featured Stories for Business Data Cloud Experience SAP Business Data Cloud First-Hand:To experience the power of SAP Business Data Cloud, join a hands-on webinar series designed to accelerate data strategies. Across a series of interactive modules, here SAP’s product and leadership teams guide participants through practical steps to unlock business value from their data. Topics include: Build and simulate outcomes with Intelligent Applications Accelerate AI innovation with SAP Databricks Create analytical models and data products in SAP DatasphereLearn directly from some of the industry experts on how to turn data into a true business driver.Learn more: Getting Started Series: Experience SAP Business Data Cloud Read More Technology Blog Posts by SAP articles
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