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How mature is your organization's data? Our own Susan Laine, Chief Field Technologist, sat down with BI-Platform to discuss our 7-step approach to data maturity. If you're looking to unlock more from your data or build a strong foundation for AI, don’t miss Susan’s deep dive into data maturity, quality, and innovation. Check out the full interview here 👉 https://okt.to/y42XgL #DataIntelligence #DataMaturity #DataMarketplace #AI #DataQuality

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Data Doesn't Have to Be a Drag. 🥱 AI Analyst is your new secret weapon for data-driven decisions. Say goodbye to: ☑ Data silos: Access all your data in one place. ☑ AI hallucinations: Get accurate, reliable insights every time. ☑ Time-consuming analysis: Get the answers you need, fast. AI Analyst is: ☑ Easy to set up: No coding required! ☑ Seamlessly integrated: Connects to all your favorite data sources and tools. ☑ Tailored to your business: Integrates your unique rules, processes, and data. Ready to unlock the power of your data? ➡️ Watch the video and see AI Analyst in action: https://lnkd.in/exENFBVi ➡️ Schedule a demo and see how AI Analyst can transform your business: https://lnkd.in/eg7VwcG4

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Thinking about monetizing your data? Join Jeff McDonald for the "Transforming Healthcare with Databricks Marketplace: Real-World Sharing Lessons" panel at the #DataAISummit. During the panel, Jeff and others will discuss collaborating on the Data Intelligence Platform to maximize ROI with data analytics and AI in healthcare. 📅 June 12th ⏰ 11:20 am PT https://ow.ly/Vbli50S4PMB #Databricks #DataAnalytics #KytheraLabs #HealthcareAnalytics

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Many companies are struggling to get insights out of analytics and AI investments. The problem is their data. Actually, the problem is their aging data management technology that doesn't properly prepare data for analytics & AI. Learn how to modernize data management to create trusted data for analytics & AI. https://lnkd.in/g5mdxcSg

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1 of the challenges when it comes to data governance For a lot of organizations, It is a translation loss. Having policies is not work done. It's just a step toward data governance. Now, you have to think about how to deliver it. This is where metadata-based policy makes it easy to deliver it Watch the video to know why. Follow Cloud Compliance for more content on Salesforce Security, Privacy, and Compliance. Check out Cloud Compliance for making your Salesforce Security and Compliance simple. #cloudcompliance #salesforcegovernance #metadata #policies

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How can prescriptive analytics give your customers a competitive advantage? Hear what our SVP of Analytics and BI Solutions, Brian Lamkin, has to say. #PharmaMarketing #Analytics

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Data professionals spend about 80 percent of their time finding, prepping, and managing data (The 80/20 Data Science Dilemma, IDG/InfoWorld, 2021). That means only 20 percent of their time is spent applying data to your business operations. Our datasets can help turn those metrics around. Sample them free for thirty days. https://okt.to/iYOr6m

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Company executives continue to demand their data teams turn their data into gold...all while pressuring data teams to push out quick and dirty pipelines. There isn't time to actually understand the data they are modeling. There isn't time to actually understand if the data they are using is even accurate. Nope, just deliver, deliver, deliver. As companies look to incorporate AI and ML into their data strategies and roadmaps the problem could compound. BUT...I look at this as a new opportunity to refocus on data quality. Regardless of how fancy or sophisticated a company's AI model might be, poor data quality will make the outputs of these models useless at best, and misleading and company destroying at worst. So, as your company is rolling out its internally developed LLM or implementing a dynamic pricing model, it’s a great time to review your data quality strategy. The first key point to cover is that data quality is not limited to one pillar, like accuracy. But instead, several key pillars need to be considered when developing your data quality system. So in the article below, I cover some of the key pillars that your company should consider as you're building your AI and ML infrastructure. https://lnkd.in/gscnmc5D

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What metrics do you prioritize when considering which analytics conferences to attend? The landscape is ever-evolving, and with so many events, making the right choice matters. This article highlights some of the best analytics conferences that can help sharpen your skills and broaden your network. They cover various topics, from data science innovations to practical analytics applications, offering firsthand insights from industry leaders. Attending these conferences is more than just learning; it’s a chance to connect with like-minded professionals and explore new tools that can transform your approach to analytics. I'm curious to know what factors influence your decision-making for these kinds of events. Is it the speaker lineup, the workshop content, or perhaps networking opportunities that sway you? Let’s hear your thoughts! https://lnkd.in/g2fY2ZUv The RevOps Team

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Are you struggling with slow and outdated Reports? Data lineage can be your secret weapon! Learn how data lineage can save your team time and money. This great article by Ha Le explores: - What data lineage is and why it's critical - The high cost of not considering data lineage (& a real-world example) - Practical steps to implement data lineage for your team https://lnkd.in/dNXKCFXU Want to learn more? Let's chat! Our Joon Solutions experts are here to help.

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Elevate Your Data Insights with Databricks Dashboards In this latest article from Blue Orange, we delve into the power of data visualization with Databricks. Discover how to create impactful dashboards that transform raw data into actionable insights: 🟠 Visualize Your Data: Learn how to create clear and engaging visualizations to communicate your findings effectively. 🟠 Leverage AI: Explore the use of AI-powered features to automate data analysis and generate insights. 🟠 Share Your Insights: Share your dashboards with your team to foster collaboration and decision-making. Contact Blue Orange Digital today to schedule a consultation. Databricks https://lnkd.in/enDbHVVb #databricks #dataanalytics #datavisualization #dashboard #AI #datadriven

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🤔 Is your RevOps data driving success or holding you back? Take Openprise's RevOps Data Quality Health Check to assess your data maturity and uncover opportunities for improvement to build a data foundation that empowers your team to make better decisions. https://lnkd.in/dZH4pg_p #DataQuality #RevOps

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Register for the Financial Services AI Demo Day virtual event to see what financial organizations are building with Snowflake's AI Data Cloud as they pivot from enterprise AI proof of concepts to implementation. Learn how to tap into and fully utilize your entire data estate – from structured data to unstructured data – to power AI use cases.

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Do you know where your business-critical data is? It's probably in places you least expect. Knowing where all your data resides is like playing a game of hide and seek with no boundaries or rules. Data is everywhere, and it’s not just found in structured databases. So much of our data today is unstructured — which can be emails, documents, social media posts, and more. SaaS, cloud, remote work, and IoT are only fuelling the data sprawl fire. Yes, data sprawl is a thing. Learn more about data sprawl and how you can manage it. https://lnkd.in/gejSwpjv

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