Rav Ubhi-Adams’ Post

A recent HESA report sheds light on the struggles some UK HE institutions faced meeting the Data Futures deadline last year.  While the findings highlight a complex mix of factors, one culprit stands out: outdated and siloed IT systems. These legacy systems, designed for a different era, can't handle the sophisticated data demands of Data Futures.  Siloed data, manual processes, and limited integration make accurate and timely reporting a monumental challenge. So, what's the solution?  HESA suggests focusing on technology upgrades, but there's a smarter approach: modernisation with a strategic partner. Think: ✅ Streamlined data collection and integration: Eliminate data silos and automate manual tasks, ensuring seamless data flow. ✅ Enhanced data quality and consistency: Implement robust data governance practices to guarantee accuracy and compliance. ✅ Agile reporting and analysis: Use modern tools to generate insightful reports and uncover hidden trends. #DataFutures #HEData #HESADataFutures #GetDataFuturesReady

Remember that feeling of staring at a password entry screen, knowing all the insights from your data lay just out of reach? That's exactly where I found myself leading a data project at a university. The goal: unlock the secrets of student engagement, hidden within mountains of disparate data. Manual processes, siloed departments, and a healthy dose of "we've always done it this way" stood in our way. But collaboration was the key. We cracked the code by bringing together IT, academics, and student support. Creative thinking led to innovative data collection methods, weaving disparate threads into a complete understanding. The result? Actionable insights that informed targeted interventions, boosting student engagement and satisfaction. And it all started with leadership buy-in. Why is this crucial? Data is an untapped goldmine in HE, but without clarity on its potential, it remains buried. Leaders need to be data champions, demystifying KPIs and empowering colleagues to own their data story. Let's face it, data collection can be tricky. EDI data presents specific challenges, and trust is paramount when dealing with personal information. Building transparency and establishing robust data governance are critical. Data is not just numbers on a screen. It's the key to unlocking improved student experiences, better decision-making, and ultimately, a thriving HE sector. Join ConnectED for expert tips and community support. #HEData #DataLiteracy #Collaboration #Leadership #UnlockingPotential

In today's business landscape, data is the driving force behind every decision and strategy. But the journey from raw data to actionable insights can be riddled with complexities and regulations. That's where Master Data Management (MDM) steps in, and here's where the game-changing power of STATE3 Enterprise shines. 🔑 Master Data Governance: The First Step Master Data Governance (MDG) sets the stage for effective data management. It offers insights into opportunities, risk management, and data classification. 💡 Vision to Reality Crafting a data vision aligned with your organisation's objectives is vital. The vision is translated into principles that guide data management across your organisation. 🏛️ Crafting a Governance Framework With vision and principles in place, it's time for a Data Governance Framework. Tailored to your data maturity and business structure, this framework sets the stage for precise procedures and measurements. 🌐 Empowering with STATE3 Enterprise Introducing STATE3 Enterprise (S3E), the holistic approach bridging business and technology. Unlike other tools, S3E ensures alignment between both realms, empowering informed decision-making. 🔍 Navigating Business Processes S3E provides comprehensive insights into end-to-end business processes, demystifying data entities' journeys across your organisation. Compliance with regulations like GDPR and PRA becomes seamless. 📚 Read the Blog: Mastering Data Management with STATE3 Enterprise and explore this topic further by reading our comprehensive whitepaper Contact us today to embark on a data-management journey with STATE3 Enterprise. 🚀 #datamanagement #STATE3Enterprise #datastrategy #digitaltransformation #datagovernance #mdm

Data Management should be renamed Data Lifecycle Management (DLM), just to make it more practical and implementable. DLM is not a component of data management, but it is data management itself, under the guidance of Data Governance. Every stage in DLM is clear and easy to understand where to apply, as example, Data Classification and Data Quality. It is time for Frameworks to transform.

Elevating Data Integrity and Efficiency: The Power of Reference Data Management Are you tired of grappling with inconsistent data across your organization? Look no further than Reference Data Management (RDM) to revolutionize your data governance practices. Reference Data Management (RDM) is not just another buzzword; it's a strategic imperative for businesses navigating the complexities of modern data ecosystems. By centralizing and standardizing reference data such as codes, classifications, and identifiers, RDM ensures a single source of truth for critical information across various systems and applications. In my article, I explore the key components of RDM, from establishing robust data governance structures to implementing data quality management processes. I also highlight best practices for successful RDM implementation, including standardizing reference data, automating data processes, and ensuring scalability. But it's not all smooth sailing. I address the challenges organizations face in implementing RDM, from data silos to security concerns, offering insights into overcoming these hurdles. Join the conversation and unlock the full potential of your data assets with Reference Data Management. #DataGovernance #RDM #DataManagement #DataQuality #DataIntegrity #BusinessIntelligence #DataStrategy #DataSecurity #DataAnalytics #DataDrivenDecisions #DataEcosystems #DigitalTransformation #AI #GenAI #LLM Let's elevate your data game together !!

Data Governance vs Data Catalog Whats more useful for data management? https://lnkd.in/gEV9zDWc PiLog Group PiLog Africa PiLog Innovation Labs Dr Imad Syed #datagovernance #datacatalog #datamanagement #business #benefits #dataquality #accountability #datasecurity #compliance #implementation #software #deployment #chandrayaan3 #vikramlander #moonmission

Verdantix recognizes IBM as a leader in their “Green Quadrant: ESG Reporting and Data Management Software” report (July 17, 2023), underscoring the company’s commanding strength in data quality control and sustainability performance planning. #ESGReporting #SustainabilityLeadership #DataManagement #CorporateResponsibility #SustainabilityPerformance #GreenQuadrant #IndustryRecognition #DataQualityControl #EnvironmentalImpact #Verdantix #BusinessInnovation #FutureOfESG

FMCS #DataMaturity Model   FMCS examined the agency’s infrastructure, data availability, and capabilities utilizing the Federal Government Data Maturity Model (FGDMM). The FGDMM assesses six lanes with five milestones each. The lanes are: #Analytics Capability, #DataCulture, #DataManagement, Data Personnel, Data Systems and #Technology, and #DataGovernance. FMCS applied the FGDMM to assess current capability and supporting processes, to communicates the current capability status to agency leadership and stakeholders, and to develop a plan of action with milestones to enhance FMCS’s use of data.   Low capability definition: Disparate systems and groups, reactive data. Management at the individual system level, poor #dataquality, little decision-making capability.   High Capability definition: Transparency and mission ROI. Thorough executive collaboration and accountability for data quality, government-wide standards, automation, and decision support.   FMCS currently possesses moderate data capabilities and has room to build upon existing infrastructure to transition to higher capability. FMCS utilizes the Data Governance group in consultation with other agency stakeholders while planning to meet high capability designations of data. Source: FMCS #TransformPartner – Your #DigitalTransformation Consultancy

Data Governance vs Data Catalog Whats more useful for data management? https://lnkd.in/gzMFAqHc PiLog Group PiLog Africa PiLog Innovation Labs #datagovernance #datacatalog #datamanagement #business #benefits #dataquality #accountability #datasecurity #compliance #implementation #software #deployment #chandrayaan3 #vikramlander #moonmission

The findings of a survey conducted by the World Economic Forum have revealed that 55% of SMEs reported difficulties locating data, while 54% said they struggled to maintain data within their company's systems. Learn more: https://buff.ly/44vtlrd If you face challenges setting up a reliable framework for effectively managing and analysing your data, don't hesitate to contact ELEKS. #datastrategy #datamanagement