🚀 New Release: Data Governance Insights for 2025 🚀 Excited to unveil our latest Data Governance Newsletter: 📘 "Data Governance in the Public Sector: Leveraging the Federal Data Strategy for 2025 Success" This edition dives into: ✅ The Federal Data Strategy's core principles ✅ Practical implementation steps for public sector success ✅ Real-world case studies transforming government data management Whether you're in public sector data or simply curious, this issue is packed with actionable insights! #DataGovernance #PublicSector #FederalDataStrategy
Incept Data Solutions, Inc.
商务咨询服务
Dulles,Virginia 12,548 位关注者
Your Trusted Data Governance Experts
关于我们
Data Strategy | Data Governance Strategy | Data Quality Strategy | Data Catalog Tool Selection | Data Governance Tool Selection | Data Quality Tool Selection | Implementation of Data Enablement Strategies (Change management, Technology, Business Unit Onboarding)
- 网站
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http://www.inceptds.com
Incept Data Solutions, Inc.的外部链接
- 所属行业
- 商务咨询服务
- 规模
- 51-200 人
- 总部
- Dulles,Virginia
- 类型
- 私人持股
- 创立
- 2013
- 领域
- Data Governance、Collibra、Informatica EDC、Informatica IDQ、Data Quality、Master Data、Alation、Semarchy、Ataccama Gen2、DQLabs、Data Discovery、Data Classification、Data Privacy、OneTrust和Informatica
地点
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主要
22365 Broderick Dr
US,Virginia,Dulles,20166
Incept Data Solutions, Inc.员工
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Amarendra Reddy Sagila
Data Governance Specialist | Informatica Cloud (IDMC), CDGC, CDMP, CDQ, EDC, Axon, IDQ
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ANANYA DEO
Data Steward Manager @ Incept DS for PepsiCo
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Byomakesh Panda
Salesforce Technical Team Lead
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Ebony Jefferson
Recruiting SME and BD Manager @Incept Data Solutions - Contact me: ej@inceptds.com -OR- Direct: 703-559-7734
动态
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Generative AI is revolutionizing industries, unlocking innovation like never before. 🌟 But with great potential comes the need for clear strategy, governance, and responsibility. Our approach combines: ✅ AI Strategy for driving innovation. ✅ Regulation & Compliance Requirements for governance. ✅ Responsible AI Guiding Principles for ethical use. At the center? A Tactical Plan designed to elevate your AI maturity while ensuring trust and compliance. Ready to future-proof your AI journey? 🔹 Leverage our Privacy Framework Tool. 🔹 Explore a tailored AI Roadmap & Assessment. Lead responsibly. Innovate confidently. 🚀 #GenerativeAI #AIMaturity #AIInnovation #ResponsibleAI #DigitalTransformation #PrivacyFramework #AILeadership #AICompliance #FutureOfAI #DataGovernance #GenAI #DataStrategy
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Is your organization turning data into actionable insights? 📊 A robust data strategy is the bridge between your business goals and tangible outcomes. From aligning business strategies and assessing current environments to unlocking the true value of data — this framework highlights the key steps for mastering your data journey. Key Takeaways? - Define organizational goals and data value. - Build a strong data culture and literacy. - Transform decision-making with game-changing insights. A strong data strategy isn’t just a competitive advantage — it’s a necessity in today’s data-driven world. Is your organization equipped for the future of data? 🚀 Let’s talk! #DataStrategy #BusinessInsights #DataDriven #DigitalTransformation #DataCulture #Analytics #DataValue #DecisionMaking #DataExcellence #BusinessGrowth #Leadership #StrategyExecution
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In a data-driven world, a well-structured Data Governance Framework is the backbone of operational excellence, innovation, and informed decision-making. Here’s why: 1️⃣ Aligning Data with Business Strategy: Integrating data governance with business goals ensures data drives real outcomes, from insights to customer satisfaction. 2️⃣ Ensuring Accountability: Clear roles eliminate silos and foster collaboration, creating a culture of shared responsibility for data. 3️⃣ Fostering Data Literacy: Empowering teams to understand and act on data turns it into a dynamic asset, driving smarter decisions. 4️⃣ Building Trust: Reliable, traceable data ensures compliance, privacy, and stakeholder confidence in every interaction. 5️⃣ Driving Ethical Innovation: Governance provides the guardrails for responsibly leveraging emerging tech like AI. 6️⃣ Scalability & ROI: A strong framework prevents chaos as organizations grow, keeping data efficient and impactful. The Takeaway: Great governance unlocks data’s full potential, transforming it from a resource into a strategic advantage. For data leaders, the goal is clear: go beyond compliance to foster a culture of trust, agility, and growth. #DataGovernance #DataStrategy #BusinessGrowth #Innovation #DataDriven #Scalability #DataLiteracy #EthicalInnovation #TrustInData #DigitalTransformation #DataLeadership #Compliance #ROI #AI
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3 Questions to Ask Before Choosing a Data Governance Tool: 1️⃣ What problem am I solving? Start with clarity. Identify the core issues your organization faces today. Is it about ensuring compliance, improving data quality, or enabling better decision-making? A well-defined problem guides your tool selection. 2️⃣ Will this tool integrate seamlessly with our workflow? A powerful tool that disrupts your workflow is counterproductive. Evaluate how well the tool aligns with your current processes, systems, and culture. Look for flexibility and ease of adoption. 3️⃣ Can it scale with us over the next 5 years? Technology evolves, and so do organizations. Choose a tool that not only meets your present needs but also grows with your business. Think about scalability, cost-effectiveness, and long-term viability. It’s not just about features—it’s about alignment. The right tool acts as an enabler, turning your governance strategy into measurable outcomes. Before making a decision, involve cross-functional stakeholders. Their perspectives will ensure the tool you choose works for everyone, not just the data team.
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Currency – A Game-Changer in Data Quality The latest DAMA-DMBOK2 framework introduces #Currency as a key dimension of data quality, and it’s transforming how organizations think about their data. Why is this update so significant? 1️⃣ Timely Decisions: In today’s fast-paced environment, outdated data can lead to costly delays. Keeping your data current ensures your decisions are not just informed but also timely. 2️⃣ Customer Trust: Trust is built on accuracy. Up-to-date information strengthens customer confidence and protects your brand’s reputation. 3️⃣ Regulatory Compliance: Staying compliant requires data that meets not just accuracy standards but also timeliness benchmarks. This update highlights the growing importance of real-time data management to stay competitive and compliant in an ever-evolving market. 💡 Organizations are now asking: Are our data systems equipped for real-time updates? How are we aligning with the latest best practices to maintain relevance and trust? This is a pivotal shift in how we think about data governance and operational excellence. What steps is your organization taking to adapt to this evolving standard? #IndustryUpdate #DataQuality #DMBOK2 #TimelyData #DataGovernance #Compliance #BusinessInsights
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Modernizing mainframes can feel like juggling multiple priorities, but a clear strategy can make the process seamless. Here’s how organizations can tackle the transition: 1️⃣ Migrate to the Cloud Leverage cloud solutions to modernize your mainframe and enable agility, scalability, and cost efficiency. 2️⃣ Enable Business Rollouts Invest in structured training programs to empower business units to adopt new platforms and processes effectively. 3️⃣ Align External Pressures with Internal Goals Address digital transformation demands and compliance requirements. Balance reinvestment, infrastructure outsourcing, and cloud alternatives. Modernization doesn’t have to be overwhelming. By scaling out or scaling up with the right tools and strategy, you can navigate these changes with confidence. What’s your approach to modernizing legacy systems? 🤔 #CloudMigration #DigitalTransformation #MainframeModernization #DataStrategy #BusinessInnovation #TechLeadership #ScalableSolutions #LegacySystems
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We’re looking forward to tuning into the "Data Foundation in the Age of Generative AI" session tomorrow morning at #AWSreInvent! 🌐🤖 As generative AI drives organizations to rethink their data strategies, it’s critical to have these kinds of discussions that explore how to balance evolving data architectures, pipelines, and governance while maintaining cost efficiency and collaboration. This session will be led by Imtiaz Sayed, Nitin Arora and Ippokratis Pandis all from the AWS team and will be sure to have some great insights. At Incept, we’re always inspired by the innovative ways businesses are leveraging data to power AI-driven growth. 💡 Are you catching this session? Let us know what excites you most about the future of generative AI! 🚀 #GenerativeAI #DataInnovation #AWSreInvent2024 #GenAI #DataGovernance #AWS Amazon Web Services (AWS)
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A strong Data Governance Strategy is no longer a luxury—it’s a necessity for organizations aiming to thrive in a data-driven world. Here’s how licensing plays a pivotal role: 1️⃣ Legal Compliance Ensure your organization stays aligned with global privacy regulations, minimizing risks of penalties and breaches. 2️⃣ Data Security Leverage licensing controls to uphold the principle of least privilege, safeguarding sensitive data. 3️⃣ Cost Management Avoid technical debt by streamlining data access and managing resources effectively. 4️⃣ Operational Efficiency Simplify and accelerate data sharing across internal teams and external collaborators. Your data is a strategic asset. Licensing ensures it’s governed, secure, and optimized for the future. Is your data governance strategy ready for 2025? #DataGovernance #DataStrategy #Compliance #DataSecurity #CostManagement #OperationalEfficiency #DataLeadership #FutureReady #DataGovernanceLicensing #Licensing
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Poor data quality isn't just a technical issue—it's a business risk. 🔍 When data quality suffers, the consequences ripple across organizations: - Distrust: Teams lose confidence in the data. - Delays: Time is wasted cleaning or fixing inaccuracies. - Lost opportunities: Poor decisions stem from poor data. But there's a solution: a Data Quality Program that addresses the root causes and builds trust through governance. Key steps to get started: 1️⃣ Understand how data quality impacts your organization. 2️⃣ Identify and prioritize critical issues. 3️⃣ Address root causes with a well-designed improvement plan. 4️⃣ Maintain momentum with ongoing governance and data management practices. 🌟 Data quality isn't just about fixing problems; it's about meeting the needs of your data consumers. Without this focus, success remains elusive. What does data quality mean for you? Share your thoughts below! 👇 #DataQuality #DataGovernance #BusinessGrowth #DigitalTransformation #DataDriven #Analytics #DataManagement #BigData #DataInsights #BusinessStrategy #AIReady #TechLeadership #OperationalExcellence
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