#Data Governance

[jcmarchi]

Unlock the other 99% of your data - now ready for AI

New Post has been published on https://thedigitalinsider.com/unlock-the-other-99-of-your-data-now-ready-for-ai/

Unlock the other 99% of your data - now ready for AI

For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence.

As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI requires significant effort in data collection, curation, and preprocessing. Moreover, important aspects such as data governance, privacy, anonymization, regulatory compliance, and security must be addressed carefully from the outset.

In a conversation with Henrique Lemes, Americas Data Platform Leader at IBM, we explored the challenges enterprises face in implementing practical AI in a range of use cases. We began by examining the nature of data itself, its various types, and its role in enabling effective AI-powered applications.

Henrique highlighted that referring to all enterprise information simply as ‘data’ understates its complexity. The modern enterprise navigates a fragmented landscape of diverse data types and inconsistent quality, particularly between structured and unstructured sources.

In simple terms, structured data refers to information that is organized in a standardized and easily searchable format, one that enables efficient processing and analysis by software systems.

Unstructured data is information that does not follow a predefined format nor organizational model, making it more complex to process and analyze. Unlike structured data, it includes diverse formats like emails, social media posts, videos, images, documents, and audio files. While it lacks the clear organization of structured data, unstructured data holds valuable insights that, when effectively managed through advanced analytics and AI, can drive innovation and inform strategic business decisions.

Henrique stated, “Currently, less than 1% of enterprise data is utilized by generative AI, and over 90% of that data is unstructured, which directly affects trust and quality”.

The element of trust in terms of data is an important one. Decision-makers in an organization need firm belief (trust) that the information at their fingertips is complete, reliable, and properly obtained. But there is evidence that states less than half of data available to businesses is used for AI, with unstructured data often going ignored or sidelined due to the complexity of processing it and examining it for compliance – especially at scale.

To open the way to better decisions that are based on a fuller set of empirical data, the trickle of easily consumed information needs to be turned into a firehose. Automated ingestion is the answer in this respect, Henrique said, but the governance rules and data policies still must be applied – to unstructured and structured data alike.

Henrique set out the three processes that let enterprises leverage the inherent value of their data. “Firstly, ingestion at scale. It’s important to automate this process. Second, curation and data governance. And the third [is when] you make this available for generative AI. We achieve over 40% of ROI over any conventional RAG use-case.”

IBM provides a unified strategy, rooted in a deep understanding of the enterprise’s AI journey, combined with advanced software solutions and domain expertise. This enables organizations to efficiently and securely transform both structured and unstructured data into AI-ready assets, all within the boundaries of existing governance and compliance frameworks.

“We bring together the people, processes, and tools. It’s not inherently simple, but we simplify it by aligning all the essential resources,” he said.

As businesses scale and transform, the diversity and volume of their data increase. To keep up, AI data ingestion process must be both scalable and flexible.

“[Companies] encounter difficulties when scaling because their AI solutions were initially built for specific tasks. When they attempt to broaden their scope, they often aren’t ready, the data pipelines grow more complex, and managing unstructured data becomes essential. This drives an increased demand for effective data governance,” he said.

IBM’s approach is to thoroughly understand each client’s AI journey, creating a clear roadmap to achieve ROI through effective AI implementation. “We prioritize data accuracy, whether structured or unstructured, along with data ingestion, lineage, governance, compliance with industry-specific regulations, and the necessary observability. These capabilities enable our clients to scale across multiple use cases and fully capitalize on the value of their data,” Henrique said.

Like anything worthwhile in technology implementation, it takes time to put the right processes in place, gravitate to the right tools, and have the necessary vision of how any data solution might need to evolve.

IBM offers enterprises a range of options and tooling to enable AI workloads in even the most regulated industries, at any scale. With international banks, finance houses, and global multinationals among its client roster, there are few substitutes for Big Blue in this context.

To find out more about enabling data pipelines for AI that drive business and offer fast, significant ROI, head over to this page.

[pilog-group]

How Dr. Imad Syed Transformed PiLog Group into a Digital Transformation Leader?

The digital age demands leaders who don’t just adapt but drive transformation. One such visionary is Dr. Imad Syed, who recently shared his incredible journey and PiLog Group’s path to success in an exclusive interview on Times Now.

In this inspiring conversation, Dr. Syed reflects on the milestones, challenges, and innovative strategies that have positioned PiLog Group as a global leader in data management and digital transformation.

The Journey of a Visionary:

From humble beginnings to spearheading PiLog’s global expansion, Dr. Syed’s story is a testament to resilience and innovation. His leadership has not only redefined PiLog but has also influenced industries worldwide, especially in domains like data governance, SaaS solutions, and AI-driven analytics.

PiLog’s Success: A Benchmark in Digital Transformation:

Under Dr. Syed’s guidance, PiLog has become synonymous with pioneering Lean Data Governance SaaS solutions. Their focus on data integrity and process automation has helped businesses achieve operational excellence. PiLog’s services are trusted by industries such as oil and gas, manufacturing, energy, utilities & nuclear and many more.

Key Insights from the Interview:

In the interview, Dr. Syed touches upon:

The importance of data governance in digital transformation.

How PiLog’s solutions empower organizations to streamline operations.

His philosophy of continuous learning and innovation.

A Must-Watch for Industry Leaders:

If you’re a business leader or tech enthusiast, this interview is packed with actionable insights that can transform your understanding of digital innovation.

👉 Watch the full interview here:

The Global Impact of PiLog Group:

PiLog’s success story resonates globally, serving clients across Africa, the USA, EU, Gulf countries, and beyond. Their ability to adapt and innovate makes them a case study in leveraging digital transformation for competitive advantage.

Join the Conversation:

What’s your take on the future of data governance and digital transformation? Share your thoughts and experiences in the comments below.

[thedatachannel]

Data Modelling Master Class-Series | Introduction -Topic 1

https://youtu.be/L1x_BM9wWdQ

#theDataChannel @thedatachannel @datamodelling

[never-quite-buried]

Nope now it’s at the point that i’m shocked that people off tt don’t know what’s going down. I have no reach but i’ll sum it up anyway.

SCOTUS is hearing on the constitutionality of the ban as tiktok and creators are arguing that it is a violation of our first amendment rights to free speech, freedom of the press and freedom to assemble.

SCOTUS: tiktok bad, big security concern because china bad!

Tiktok lawyers: if china is such a concern why are you singling us out? Why not SHEIN or temu which collect far more information and are less transparent with their users?

SCOTUS (out loud): well you see we don’t like how users are communicating with each other, it’s making them more anti-american and china could disseminate pro china propaganda (get it? They literally said they do not like how we Speak or how we Assemble. Independent journalists reach their audience on tt meaning they have Press they want to suppress)

Tiktok users: this is fucking bullshit i don’t want to lose this community what should we do? We don’t want to go to meta or x because they both lobbied congress to ban tiktok (free market capitalism amirite? Paying off your local congressmen to suppress the competition is totally what the free market is about) but nothing else is like TikTok

A few users: what about xiaohongshu? It’s the Chinese version of tiktok (not quite, douyin is the chinese tiktok but it’s primarily for younger users so xiaohongshu was chosen)

16 hours later:

Tiktok as a community has chosen to collectively migrate TO a chinese owned app that is purely in Chinese out of utter spite and contempt for meta/x and the gov that is backing them.

My fyp is a mix of “i would rather mail memes to my friends than ever return to instagram reels” and “i will xerox my data to xi jinping myself i do not care i share my ss# with 5 other people anyway” and “im just getting ready for my day with my chinese made coffee maker and my Chinese made blowdryer and my chinese made clothing and listening to a podcast on my chinese made phone and get in my car running on chinese manufactured microchips but logging into a chinese social media? Too much for our gov!” etc.

So the government was scared that tiktok was creating a sense of class consciousness and tried to kill it but by doing so they sent us all to xiaohongshu. And now? Oh it’s adorable seeing this gov-manufactured divide be crossed in such a way.

This is adorable and so not what they were expecting. Im sure they were expecting a reluctant return to reels and shorts to fill the void but tiktokers said fuck that, we will forge connections across the world. Who you tell me is my enemy i will make my friend. That’s pretty damn cool.

[reallyhappyyouth]

Stop Waste: Avoid Paying Twice for Spare Parts and Repeating RFx Procedures Let Data Governance Drive Your Procurement Efficiency

Have you ever wondered how much your company loses by purchasing the same spare parts multiple times or issuing RFx requests to the same supplier repeatedly?

In sectors such as aerospace, defense, and manufacturing, these redundant procurement activities don’t just increase expenses—they also reduce efficiency and introduce avoidable risks.

But the impact doesn’t end there:

Duplicate orders lead to unnecessary capital lock-up and poor inventory control.

Redundant RFx efforts cause wasted time, duplicated labor, and potential confusion for suppliers.

Insufficient visibility into your procurement data and processes can result in costly and time-consuming mistakes.

It’s time to eliminate inefficiencies and make your procurement process more streamlined.

How can you achieve this?

PiLog’s Data Governance solution helps you overcome these challenges by providing:

Centralized, real-time access to procurement data across all systems

Advanced data validation mechanisms that automatically identify duplicate or overlapping supply chain activities

Integrated governance frameworks and workflows that guarantee RFx requests are only sent when necessary—and directed to the right parties at the right time

By utilizing AI-driven data governance combined with intelligent automation, PiLog empowers your team to focus on strategic priorities, reduce costs, and improve operational efficiency.

[vasavipotti]

Data Governance in Power BI: Security, Sharing, and Compliance

In today’s data-driven business landscape, Power BI stands out as a powerful tool for transforming raw data into actionable insights. But as organizations scale their analytics capabilities, data governance becomes crucial to ensure data security, proper sharing, and compliance with regulatory standards.

In this article, we explore how Power BI supports effective data governance and how mastering these concepts through Power BI training can empower professionals to manage data responsibly and securely.

🔐 Security in Power BI

Data security is the backbone of any governance strategy. Power BI offers several robust features to keep data secure across all layers:

1. Role-Level Security (RLS)

With RLS, you can define filters that limit access to data at the row level, ensuring users only see what they’re authorized to.

2. Microsoft Information Protection Integration

Power BI integrates with Microsoft’s sensitivity labels, allowing you to classify and protect sensitive information seamlessly.

3. Data Encryption

All data in Power BI is encrypted both at rest and in transit, using industry-standard encryption protocols.

🔗 Sharing and Collaboration

Collaboration is key in data analytics, but uncontrolled sharing can lead to data leaks. Power BI provides controlled sharing options:

1. Workspaces and App Sharing

Users can collaborate within defined workspaces and distribute dashboards or reports as apps to broader audiences with specific permissions.

2. Content Certification and Endorsement

Promote data trust by endorsing or certifying datasets, dashboards, and reports, helping users identify reliable sources.

3. Sharing Audits

Audit logs allow administrators to track how reports and dashboards are shared and accessed across the organization.

✅ Compliance and Auditing

To comply with regulations like GDPR, HIPAA, or ISO standards, Power BI includes:

1. Audit Logs and Activity Monitoring

Track user activities such as report views, exports, and data modifications for full traceability.

2. Data Retention Policies

Organizations can configure retention policies for datasets to meet specific regulatory requirements.

3. Service Trust Portal

Microsoft’s compliance framework includes regular audits and certifications to help Power BI users stay compliant with global standards.

🎓 Why Learn Data Governance in Power BI?

Understanding data governance is not just for IT professionals. Business users, analysts, and developers can benefit from structured Power BI training that includes:

Hands-on experience with RLS and permission settings

Best practices for sharing content securely

Compliance tools and how to use them effectively

By enrolling in a Power BI training program, you’ll gain the knowledge to build secure and compliant dashboards that foster trust and transparency in your organization.

🙋‍♀️ Frequently Asked Questions (FAQs)

Q1. What is data governance in Power BI? Data governance in Power BI involves managing the availability, usability, integrity, and security of data used in reports and dashboards.

Q2. How do I ensure secure data sharing in Power BI? Use role-level security, control access through workspaces, and audit sharing activities to ensure secure collaboration.

Q3. Is Power BI compliant with GDPR and other standards? Yes, Power BI is built on Microsoft Azure and complies with global data protection and privacy regulations.

Q4. Why is Power BI training important for governance? Training helps professionals understand and apply best practices for securing data, managing access, and ensuring compliance.

Q5. Where can I get the best Power BI training? We recommend enrolling in hands-on courses that cover real-time projects, governance tools, and industry use cases.

🌐 Ready to Master Power BI?

Unlock the full potential of Power BI with comprehensive training programs that cover everything from data modeling to governance best practices.

👉 Visit our website to learn more about Power BI training and certification opportunities.

[softwaredevlp]

Improve data control and usage with our step-by-step data governance strategy guide. Build trust in your data across the enterprise.

[expphot0]

Why Using AI with Sensitive Business Data Can Be Risky

  The AI Boom: Awesome… But Also Dangerous AI is everywhere now — helping with customer service, writing emails, analyzing trends. It sounds like a dream come true. But if you’re using it with private or regulated data (like health info, financials, or client records), there’s a real risk of breaking the rules — and getting into trouble. We’ve seen small businesses get excited about AI… until…

[acuvate-updates]

Maximizing Report Creation: A Comparison of Power BI and Tableau Migration

Introduction: The Evolution of Business Intelligence

In the fast-paced business world, data visualization plays a pivotal role in driving strategic decisions. The choice of a business intelligence (BI) tool significantly impacts how organizations analyze and present their data. With technology continuously evolving, staying ahead with cutting-edge BI solutions is crucial for maintaining a competitive edge.

If you are currently using Tableau but are considering a switch to Power BI, you may be wondering whether it’s worth the effort. In this blog, we’ll guide you through the transition process, explore the key advantages of Power BI, and highlight best practices to ensure a smooth migration.

Data Source Connection: New Beginnings vs. Existing Connections

Building from Scratch: In Power BI, starting fresh with report creation means establishing new data connections.

Migration from Tableau: During migration, you connect to the pre-existing data sources that were used in Tableau, ensuring continuity and reducing the need for data reconfiguration.

Rebuilding in Power BI: Replication vs. New Creation

Building from Scratch: Creating reports from scratch allows full customization of visualizations and structure without constraints from existing designs, giving greater creative freedom.

Migration from Tableau: Migration requires replicating Tableau’s reports and visualizations, often involving reverse-engineering the work done in Tableau to rebuild similar dashboards and reports in Power BI.

Read More about Why Move from Tableau to Power BI: Key Benefits Explained

Translating Logic: Adapting Tableau’s Logic to DAX in Power BI

Building from Scratch: When creating reports from scratch, you have the flexibility to design new calculations using Power BI’s DAX language.

Migration from Tableau: One of the most intricate parts of migration is converting Tableau’s calculated fields and logic into Power BI’s DAX language, ensuring that functionality is retained while adapting to Power BI’s unique environment.

Styling and Formatting: Matching the Look vs. Redesigning from Scratch

Building from Scratch: Rebuilding reports in Power BI from scratch allows for more flexibility, offering a fresh, modern design aligned with current brand aesthetics and business needs.

Migration from Tableau: During migration, it’s often necessary to match the style and design of Tableau reports to ensure a consistent user experience.

Migration Challenges: Balancing Consistency and Flexibility

Building from Scratch: Starting fresh presents no challenges in maintaining consistency with previous designs but allows for full creative control.

Migration from Tableau: The migration process is more challenging than building from scratch, as it requires careful attention to replicating Tableau’s functionality and design to ensure the Power BI reports mirror the original in both appearance and performance.

Post-Migration Support: Ensuring a Smooth Transition to Power BI

Once the migration from Tableau to Power BI is complete, providing comprehensive post-migration support is vital to ensuring a smooth transition. This includes offering training sessions, preparing documentation that outlines the differences between Tableau and Power BI, and establishing dedicated channels for users to ask questions or report issues. These efforts will facilitate user adoption and ensure the transition to Power BI is both successful and sustainable.

Know more about Tableau to Power BI: Save Costs & Gain AI-Driven Insights

Key Considerations for Migrating from Tableau to Power BI

Calculated Columns and Measures: Understanding the Differences

Tableau: Tableau’s calculated fields enable users to perform a wide variety of in-platform calculations and dynamic analysis, creating new metrics and applying complex formulas.

Power BI: Power BI uses measures for similar functionality but requires translating Tableau’s logic into Power BI’s DAX language, which might involve some fine-tuning to maintain consistency.

Chart Creation: A Shift from Modularity to Flexibility

Tableau: Tableau uses a modular approach where each chart resides in a separate worksheet. This makes it easier to analyze individual visualizations but requires more effort to manage multiple charts.

Power BI: Power BI allows multiple charts to be placed on a single page for efficient comparison and analysis, offering greater flexibility and ease of comparison within a unified workspace.

Both Power BI and Tableau provide powerful charting capabilities. Power BI’s design allows for dynamic and interconnected visualizations, while Tableau’s modular approach emphasizes individual analysis of specific datasets.

Why Choose Acuvate?

At Acuvate, we help businesses seamlessly transition their BI tools to stay ahead in today’s data-driven world. As a trusted Microsoft partner, we ensure efficiency, security, and governance in analytics modernization.

Try our migration calculator: Seamlessly Transition from Tableau to Power BI with Acuvate

How Acuvate Supports Your Power BI Migration

1. Efficient Migration Strategy

Migrating from Tableau to Power BI can be complex, but Acuvate streamlines the process. Unlike traditional BI firms, we leverage automation and best practices to accelerate migration with minimal disruption.

2. Faster Adoption with Self-Service Analytics

Power BI empowers business users with self-service analytics. Acuvate ensures teams can independently create reports while maintaining data security and governance.

3. Seamless Microsoft Integration

As a Microsoft Solutions Partner, we integrate Power BI with Office 365, Azure, and Dynamics 365 to enhance insights and decision-making.

4. Scalable and Cost-Effective Solutions

We offer flexible managed services for security compliance, data governance, and ongoing support tailored to your business needs.

5. Cutting-Edge BI Technologies

Acuvate stays ahead of BI trends, collaborating closely with Microsoft to bring the latest innovations to our clients.

6. Reliable Support & Maintenance

Beyond migration, we ensure your Power BI environment remains optimized with continuous support and performance tuning.

7. Accelerated Data Transformation

Acuvate enhances Power BI migration with AcuWeave, our advanced Microsoft Fabric accelerator. AcuWeave streamlines data ingestion, transformation, and modeling, ensuring faster insights and seamless integration with your existing BI ecosystem.

Get Started with Acuvate Today

Whether you need a full-scale migration or phased transition, Acuvate is here to guide you. Contact us to leverage Power BI for smarter insights and decision automation.

Conclusion: Unlock the Power of Advanced BI

As businesses strive for smarter analytics and improved decision-making, Power BI emerges as a powerful alternative to Tableau. Its deep integration with Microsoft products, cost efficiency, and user-friendly experience make it an excellent choice for organizations looking to enhance their BI strategy.

With a structured migration approach and best practices in place, transitioning from Tableau to Power BI can be a game-changer for your business. Don’t hesitate to make the switch and unlock new insights to drive your company forward!

Ready to migrate? Reach out to our experts today and take the first step towards an optimized business intelligence experience with Power BI.

[garymdm]

How SASSA Can Leverage Data Governance?

Fraud in public service delivery, particularly concerning social grants, continues to be a significant challenge in South Africa. The South African Social Security Agency for SRD grant, which distributes billions in social grants monthly, is under increasing pressure to address issues like fraud, identity theft, and system vulnerabilities. A key solution is the adoption of strong data governance…

[jcmarchi]

The concerted effort of maintaining application resilience

New Post has been published on https://thedigitalinsider.com/the-concerted-effort-of-maintaining-application-resilience/

The concerted effort of maintaining application resilience

Back when most business applications were monolithic, ensuring their resilience was by no means easy. But given the way apps run in 2025 and what’s expected of them, maintaining monolithic apps was arguably simpler.

Back then, IT staff had a finite set of criteria on which to improve an application’s resilience, and the rate of change to the application and its infrastructure was a great deal slower. Today, the demands we place on apps are different, more numerous, and subject to a faster rate of change.

There are also just more applications. According to IDC, there are likely to be a billion more in production by 2028 – and many of these will be running on cloud-native code and mixed infrastructure. With technological complexity and higher service expectations of responsiveness and quality, ensuring resilience has grown into being a massively more complex ask.

Multi-dimensional elements determine app resilience, dimensions that fall into different areas of responsibility in the modern enterprise: Code quality falls to development teams; infrastructure might be down to systems administrators or DevOps; compliance and data governance officers have their own needs and stipulations, as do cybersecurity professionals, storage engineers, database administrators, and a dozen more besides.

With multiple tools designed to ensure the resilience of an app – with definitions of what constitutes resilience depending on who’s asking – it’s small wonder that there are typically dozens of tools that work to improve and maintain resilience in play at any one time in the modern enterprise.

Determining resilience across the whole enterprise’s portfolio, therefore, is near-impossible. Monitoring software is silo-ed, and there’s no single pane of reference.

IBM’s Concert Resilience Posture simplifies the complexities of multiple dashboards, normalizes the different quality judgments, breaks down data from different silos, and unifies the disparate purposes of monitoring and remediation tools in play.

Speaking ahead of TechEx North America (4-5 June, Santa Clara Convention Center), Jennifer Fitzgerald, Product Management Director, Observability, at IBM, took us through the Concert Resilience Posture solution, its aims, and its ethos. On the latter, she differentiates it from other tools:

“Everything we’re doing is grounded in applications – the health and performance of the applications and reducing risk factors for the application.”

The app-centric approach means the bringing together of the different metrics in the context of desired business outcomes, answering questions that matter to an organization’s stakeholders, like:

Will every application scale?

What effects have code changes had?

Are we over- or under-resourcing any element of any application?

Is infrastructure supporting or hindering application deployment?

Are we safe and in line with data governance policies?

What experience are we giving our customers?

Jennifer says IBM Concert Resilience Posture is, “a new way to think about resilience – to move it from a manual stitching [of other tools] or a ton of different dashboards.” Although the definition of resilience can be ephemeral, according to which criteria are in play, Jennifer says it’s comprised, at its core, of eight non-functional requirements (NFRs):

Observability

Availability

Maintainability

Recoverability

Scalability

Usability

Integrity

Security

NFRs are important everywhere in the organization, and there are perhaps only two or three that are the sole remit of one department – security falls to the CISO, for example. But ensuring the best quality of resilience in all of the above is critically important right across the enterprise. It’s a shared responsibility for maintaining excellence in performance, potential, and safety.

What IBM Concert Resilience Posture gives organizations, different from what’s offered by a collection of disparate tools and beyond the single-pane-of-glass paradigm, is proactivity. Proactive resilience comes from its ability to give a resilience score, based on multiple metrics, with a score determined by the many dozens of data points in each NFR. Companies can see their overall or per-app scores drift as changes are made – to the infrastructure, to code, to the portfolio of applications in production, and so on.

“The thought around resilience is that we as humans aren’t perfect. We’re going to make mistakes. But how do you come back? You want your applications to be fully, highly performant, always optimal, with the required uptime. But issues are going to happen. A code change is introduced that breaks something, or there’s more demand on a certain area that slows down performance. And so the application resilience we’re looking at is all around the ability of systems to withstand and recover quickly from disruptions, failures, spikes in demand, [and] unexpected events,” she says.

IBM’s acquisition history points to some of the complimentary elements of the Concert Resilience Posture solution – Instana for full-stack observability, Turbonomic for resource optimization, for example. But the whole is greater than the sum of the parts. There’s an AI-powered continuous assessment of all elements that make up an organization’s resilience, so there’s one place where decision-makers and IT teams can assess, manage, and configure the full-stack’s resilience profile.

The IBM portfolio of resilience-focused solutions helps teams see when and why loads change and therefore where resources are wasted. It’s possible to ensure that necessary resources are allocated only when needed, and systems automatically scale back when they’re not. That sort of business- and cost-centric capability is at the heart of app-centric resilience, and means that a company is always optimizing its resources.

Overarching all aspects of app performance and resilience is the element of cost. Throwing extra resources at an under-performing application (or its supporting infrastructure) isn’t a viable solution in most organizations. With IBM, organizations get the ability to scale and grow, to add or iterate apps safely, without necessarily having to invest in new provisioning, either in the cloud or on-premise. Plus, they can see how any changes impact resilience. It’s making best use of what’s available, and winning back capacity – all while getting the best performance, responsiveness, reliability, and uptime across the enterprise’s application portfolio.

Jennifer says, “There’s a lot of different things that can impact resilience and that’s why it’s been so difficult to measure. An application has so many different layers underneath, even in just its resources and how it’s built. But then there’s the spider web of downstream impacts. A code change could impact multiple apps, or it could impact one piece of an app. What is the downstream impact of something going wrong? And that’s a big piece of what our tools are helping organizations with.”

You can read more about IBM’s work to make today and tomorrow’s applications resilient.

[technicallyseverepuppy]

Data Governance Strategy 2025: Steps, Importance & Best Practices This article discusses building a successful data governance strategy, which requires a structured approach that aligns with your organization's goals and operational realities. It provides a step-by-step guide to help you establish a comprehensive and sustainable governance framework tailored for technical and business stakeholders.

[pilog-group]

Discover how robust asset data quality and governance solutions can transform enterprise decision-making, reduce operational risks, and ensure compliance. Learn more from PiLog Group’s globally trusted framework.

[goodoldbandit]

Data Without Discipline: Shaping Trust and Growth Through Governance & Compliance.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in How clear rules and smart frameworks turn messy data into a strategic asset Strong data governance and compliance frameworks secure data quality, protect privacy and boost trust in a data-driven world. In a world brimming with data, managing it well is not a luxury but a must. Data governance and compliance are the twin…

[reallyhappyyouth]

From Risk to Resilience: Building Confidence Through Data Governance

Pilots don’t take off without a full system check. Airlines don’t fly without a clear, tested plan to handle emergencies.

So why would your organization operate without strong data governance?

Backups are like a black box—valuable only after a failure occurs. Governance, on the other hand, acts as your checklist, co-pilot, and emergency plan all in one.

In today’s complex digital world, data disruptions are not rare—they’re routine. And most incidents aren’t caused by cyberattacks but by misconfigurations, system failures, or human mistakes.

True resilience isn’t about reacting—it’s about anticipating. And that begins with governance.

PiLog’s Data Governance Solution is designed for the challenges of tomorrow, available today. It integrates real-time governance seamlessly with SAP S/4HANA via BTP, while embedding GDPR-compliant policies at every stage.

This solution doesn’t just bring clarity—it delivers operational certainty.

Its governance framework builds resilience throughout the entire data lifecycle by:

Preventing failures before they occur

Detecting issues in real time

Enabling fast, complete, and compliant recovery when needed

Ask yourself:

Where are your backups?

Are they secure?

Have they been thoroughly stress-tested?

Who is responsible if recovery fails?

PiLog’s Data Governance turns these critical questions into clear answers. It transforms chaos into clarity—and reactive firefighting into proactive reading