Is Your Data Ready to Work for You? ?? Chances are, it’s not! ?? Research shows that 90% of data is unstructured. That makes it highly difficult (if not impossible) for businesses to extract useful insights. ?? In our latest blog post, we explore the art and science of data preparation to help you transform raw data into your business’s most valuable asset. ?? What You’ll Learn: ? Why solid data preparation is crucial to make full use of your data ? Best practices for data preparation ? The secret to faster and better data preparation Ready to level up your data management practices? ?? Check out the full post for actionable tips and insights to enhance your data preparation strategy. ?? https://lnkd.in/du86Q_gx Let’s make your data work for you! ?? #BigData #DataPreparation #DataQuality #DataManagement #DataMatching #BusinessIntelligence #DataStrategy
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Data silos are challenging but can be overcome by fostering a data-driven culture, integrating data, and implementing robust data management and governance. Breaking down these silos enables organizations to unlock deeper analytical insights and enhance profitability. Need help? Our Data Strategy team is here. https://hubs.la/Q02GpyNW0 #DataStrategy #DataSilos #Analytics
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?? Navigating the Data Wilderness: A Blueprint for Success ?? Ever wondered about the intricacies of your organization's data landscape? How data flows, its utilization, and the opportunities that lie within? ?? Dive into my latest article to uncover the essentials of mapping your data ecosystem and why it's more crucial than ever! What you'll discover: ? The importance of visualizing your data landscape ? Strategies for developing a comprehensive data landscape ? The role of the Enterprise Information Intelligence Graph (EIIG) by Orion Governance This isn't just about handling data; it's about transforming your organization into a data-driven powerhouse. ?? Understand the significance of every data source, the flow, and how to leverage this knowledge for informed decision-making, enhanced operational efficiency, and seamless compliance. Whether you're starting out or looking to refine your approach, this guide is your compass through the data maze. Ready to revolutionize your data strategy? ?? Let’s talk. ?? Read my full article here https://lnkd.in/gfpCAqXb #DataManagement #DigitalTransformation #OrionGovernance #DataEcosystem #BusinessIntelligence
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We do SO much more than DCAM! (part 2 = Data Strategy top tips) Last week I posted about Ortecha being a global leader known for helping clients with DCAM Data Capability Assessments, Data Capability Uplift and DCAM Training, and I listed our key services. From here on, I'll do a series of posts over the next few weeks, delving into each of our key services. ?? I'll give you my perspective on this aspect of data/data management and the best practice around it. Today, it is... ?Data Strategy My advice is: ?? #1: Choose the right firm/supplier - if you want global experience and exposure with a (perceived) depth of market knowledge and research (e.g. what are all the global asset managers doing) then you should probably go to a Big 4 firm. They (in theory) will have this depth of market knowledge (please REALLY check that they do) and should be able to align your strategy to what everyone else is doing. BUT BE CAREFUL! Do you really want to copy everyone else or do you want a data strategy that aligns to YOUR business strategy? Do you want specific data value aligned to your business goals or just be a beige company copying everyone else? (I know what I want!). - if you want specific data expertise and knowledge that will help you tease out specific aspects of your business strategy and align them to data goals, with a realistic roadmap for value realisation, then you'll likely get a better result by working with a specialist data firm (a good one is Ortecha (wink, wink)). ?? #2: Don't geek out - Your data strategy must be aligned to your business strategy. Your data strategy explains how you will achieve your business strategy via improved use of data, analytics and insight (and yes, the data aspects of AI are bundled in analytics and insight!). - Do not get all geeky about metadata, data modelling and root cause analysis. NO ONE CARES! Your data strategy must explain what data is important and how you are going to use this data to achieve your business goals. Defining the best metamodel ever is important but it's not part of your data strategy. (You can get all this geeky stuff sorted if you do a Data & Analytics Operating Model, which I'll cover in another post). ?? #3: Don't create shelfware This sounds so obvious but it happens so often. Beautiful PowerPoint slide packs are created and approved. They look amazing! But if they just sit on a shelf you have failed. A strategy must be tracked against what you do every day. And it must be updated regularly (e.g. minor changes quarterly, major changes annually). You MUST treat your data strategy as a living document that guides what you do and is updated to show your progress and success. ? ? What is your BEST top tip on data strategy? ? I hope this is useful. If you'd like to talk data strategy, feel free to get in contact with me. #dataStrategy #dataConsulting #bestPractice
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I'm thrilled to share my first article, "7 Steps to Conduct an Assessment to Enhance Your Data Maturity Model" ??? In today's data-driven world, understanding and improving your organization's data maturity is crucial for leveraging data as a strategic asset. This article breaks down a comprehensive, step-by-step approach to assess and elevate your data maturity model, ensuring your organization is poised for success. ???Read the full article here: https://lnkd.in/d6pfa5jG Let's embark on this journey to data excellence together!? #DataMaturityModel #DataStrategy #DataAnalytics #DataDriven #DataAssessment #DataManagement
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Data discovery and data cataloging play pivotal roles in data management. Explore how data discovery helps uncover hidden patterns and insights, while data catalogs organize and inventory data assets for easy access. Learn how combining both can improve data accessibility, quality, and governance, driving better business decisions. ??? Learn more: https://lnkd.in/gKp5-q5e #DataStrategy #DataGovernance
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"Effective data leadership transforms data into a core business discipline, while data management ensures its operational reliability." Read more ?? https://lttr.ai/AZF4u #DataManagement #StrategicVision #DataLeadership #RapidlyChangingWorld #SetStrictGuidelines #MachineLearningOffer #MaintainingEthicalPractices #MaintainingHighStandards #ManagementReportSignificantly #EncouragingCrossFunctionalTeamwork
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?? Unlocking the Power of Targeted Data Analysis with Data Marts ??? As organizations grow, so does the complexity of their data. That's where Data Marts come in—enabling teams to focus on specific data relevant to their operations and make faster, more informed decisions. I highly recommend checking out this insightful article Understanding Data Marts: A Key to Targeted Data Analysis. ?? Key Takeaways: What are data marts, and how they differ from data warehouses? The benefits of using data marts for streamlined, department-specific analysis. How to implement data marts for better decision-making across teams. If you're working with vast amounts of data and want to drive more actionable insights, this is a must-read! ???? https://lnkd.in/ggqiyHgg #DataAnalysis #DataMarts #BusinessIntelligence #DataDriven #TargetedInsights #DataEngineering
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Discover potential paradigm changes for data and analytics?? BISE Journal recently published a new article by Ivo Blohm, Felix Wortmann, Christine Legner, and our own Dr. Felix K?bler. ??Check out the article "Data products, data mesh, and data fabric" which explores these concepts, highlighting their potential to revolutionize data management and analytics: https://lnkd.in/e7F-z6p6 #DataProducts #DataMesh #DataFabric #DataProductManagement
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