Stay on top of the ever-evolving world of Data and Analytics with our Biweekly Data & Analytics Digest, for insights that matter. To get the latest updates on data trends, breakthroughs, and innovations delivered to your inbox, all you need to do is subscribe today by clicking the link. https://lnkd.in/ef4-b8dW Join a community of data professionals and decision-makers who stay informed and ahead of the curve.
About us
Blue Orange is a boutique agency specializing in data science, analytics, machine learning, and artificial intelligence. We help companies solve their big data and analytics problems and leverage the latest technologies in the space.
- Website
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http://blueorange.digital
External link for Blue Orange Digital
- Industry
- IT Services and IT Consulting
- Company size
- 51-200 employees
- Headquarters
- New York
- Type
- Privately Held
- Founded
- 2015
- Specialties
- Node, web development, React/Redux, Spark, sparkml, Tensorflow, R, GCP, Visualization, Azure, Snowflake, fintech, martech, Commercial Real Estate, and RPA
Locations
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Primary
750 Lexington Ave
9th floor
New York, 10022, US
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201 N Union
Suite 110
Alexandria, Virginia 22314, US
Employees at Blue Orange Digital
Updates
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Streamline Data Analytics to Weather Real Estate's Performance Storms A recent IREI article highlights the critical role of data in navigating today's volatile real estate market. Key Takeaways: 🟠 Proactive vs. Reactive: Historically, real estate relied on lagging performance indicators. Streamlined data analytics allow for proactive portfolio management, enabling informed decisions based on real-time insights. 🟠 Identifying Hidden Risks: Advanced analytics can uncover hidden risks and opportunities, allowing investors to adjust strategies and mitigate potential losses. 🟠 Optimizing Investment Decisions: Data-driven insights can help optimize capital allocation, tenant selection, and overall portfolio performance. The Future of Real Estate: The article emphasizes that streamlined data analytics are no longer a luxury, but a necessity for success in a dynamic market. Investing in data infrastructure and fostering a data-driven culture will be key for real estate professionals to navigate future challenges and maximize returns. Are you facing challenges in implementing data analytics in your real estate portfolio? Contact Blue Orange Digital to schedule a free consultation. Brian Ashurst https://lnkd.in/ebbeXjRB #realestate #dataanalytics #investment #IREI #propertymanagement
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Stay on top of the ever-evolving world of Data and Analytics with the Biweekly Data & Analytics Digest by Blue Orange Digital, your go-to source for insights that matter. What to expect: 🟠 Curated Industry News: Get the latest updates on data trends, breakthroughs, and innovations delivered straight to your inbox. 🟠 Actionable Insights: Find practical tips and expert analysis you can use to enhance your own data strategy. 🟠 No Fluff, No Spam: We respect your time. Every issue is concise, focused, and packed with value. 🟠 Every Other Wednesday: Twice a month, you’ll get a fresh roundup of articles, visuals, and exclusive offers from the world of data and analytics. 👉 Join a community of data professionals and decision-makers who stay informed and ahead of the curve. https://lnkd.in/ef4-b8dW #DataAnalytics #DataInsights #DataTrends #Analytics #Data #DataStrategy #DataCommunity #StayInformed #DataInnovation #DataDriven #ActionableInsights #biweeklydataanalyticsdigest #Blueorangedigital
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The Insurance Industry is Embracing Data Analytics to Improve Risk Management Data analytics is revolutionizing the insurance industry by providing valuable insights into risk assessment, fraud detection, and customer behavior. By leveraging advanced analytics techniques, insurers can make more informed decisions, optimize operations, and enhance customer experiences. Key benefits of data analytics in insurance: 🟠 Enhanced Risk Assessment: Data analytics allows insurers to accurately assess risks by identifying patterns and trends in historical data. This enables them to develop more precise pricing models and underwriting strategies. 🟠 Improved Fraud Detection: By analyzing large volumes of data, insurers can detect fraudulent claims more effectively. Advanced analytics algorithms can identify anomalies and inconsistencies that may indicate fraudulent activity. 🟠 Personalized Customer Experiences: Data analytics enables insurers to tailor their products and services to individual customer needs. By understanding customer preferences and behaviors, insurers can offer personalized recommendations and improve customer satisfaction. 🟠 Optimized Operations: Data analytics can help insurers streamline their operations and reduce costs. By analyzing data on claims processing, underwriting, and other processes, insurers can identify inefficiencies and implement improvements. Do you need help with advanced analytic techniques? Contact Blue Orange Digital today to schedule a free consultation. https://lnkd.in/e3zQpjJG #dataanalytics #insurance #riskmanagement #digitaltransformation
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dbt's Latest and Greatest: A Recap from Coalesce 2024 (and a Few Hats) Data Analysts, Data Engineers, and even Business Users rejoice in this Blue Orange Digital article by Sebastian Freiman. Fresh off the heels of Coalesce 2024 in Vegas (hat collection significantly expanded), here's a breakdown of dbt's hottest new features and upcoming beta releases! Headlining: 🟠 Unit Tests for Quality Assurance: Like a code whisperer for your data models, unit tests ensure everything works as expected before materialization. 🟠 Microbatching for Efficiency: Tired of processing all your data at once? Microbatching tackles this by focusing on recent data, saving you storage and processing power. 🟠 Snapshot Improvements (Finally!): Snapshots are getting a refresh with YAML configuration and more control over column naming. Coming Soon (Beta): 🟠 Apache Iceberg Support: Multi-warehouse just got easier with seamless integration for a unified data experience. 🟠 Analytics Development Lifecycle (ADLC): A structured approach to data development for smoother workflows. 🟠 dbt One & Mesh: Simplifying large-scale data modeling with a focus on collaboration. 🟠 dbt Copilot & Control Plane: Supercharge your development with AI assistance and centralized governance. 🟠 Cost Optimization: Keep your data costs in check with built-in optimization tools. And there's more! This is just a taste of what dbt has in store. Stay tuned for a deeper dive into these features and how they can revolutionize your data game. https://lnkd.in/eXQij2jQ #dbt #Coalesce2024 #dataengineering #datamodeling
New dbt features for people who wear many hats
medium.com
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Databricks Mosaic AI Gateway: Centralized Governance for Your AI Models Are you looking for a way to secure your data and Gen AI deployments? Look no further than Mosaic AI Gateway! This Blue Orange Digital article by our Chief Technology Officer, Colin Van Dyke, provides a great introduction to Mosaic AI Gateway and how to get started using it. You'll learn how to use the MLFlow SDK to set up an endpoint, how to use the UI to set up a new served entity, and how to use the AI Gateway to enforce guardrails, log requests and responses. Overall, Mosaic AI Gateway is a powerful tool that can help you to secure your data and Gen AI deployments. If you're interested in learning more, I highly recommend checking out this article. https://lnkd.in/e5cBerdv #Databricks #MosaicAIGateway #CloudComputing #Data #DataPlatform #DataEngineers #DataScientists #MachineLearningEngineers #AIEngineers #CloudArchitects #ITLeaders
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Stay on top of the ever-evolving world of Data and Analytics with our Biweekly Data & Analytics Digest, your go-to source for insights that matter. To get the latest updates on data trends, breakthroughs, and innovations delivered straight to your inbox, all you have to do is subscribe today by clicking the link. https://lnkd.in/ef4-b8dW Join a community of data professionals and decision-makers who stay informed and ahead of the curve. #DataAnalytics #IndustryNews #ActionableInsights #DataProfessionals #Newsletter #StayAhead #BiWeeklyUpdates #DataCommunity #biweeklydataanalyticsdigest #Blueorangedigital
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Data Analytics Trends You Need to Know About in 2024 The world of data analytics is constantly evolving, and staying ahead of the curve is crucial for any business looking to gain a competitive edge. Here's a look at five of the hottest trends shaping the data analytics landscape in 2024: 🟠 AI and Machine Learning Take Center Stage: The integration of AI and machine learning (ML) into analytics frameworks is revolutionizing how businesses extract insights from data. These powerful tools can automate tasks, identify patterns, and make predictions with incredible accuracy. 🟠 Data-Centric Approach Reigns Supreme: High-quality, well-governed data is becoming the central asset for driving analytics, modeling, and insights. Businesses are prioritizing data governance and investing in strategies to ensure their data is clean, consistent, and accessible. 🟠 Data Sharing: A Double-Edged Sword: Data sharing, both within and outside the organization, is on the rise. While it can unlock new opportunities for collaboration and innovation, it also raises concerns around data privacy and security. Companies need to establish robust data governance frameworks to navigate these challenges. 🟠 Focus on Data Quality: Never before has data quality been so critical. Businesses are increasingly recognizing the importance of clean, accurate data to fuel reliable analytics and avoid misleading results. 🟠 Transforming Raw Data into Actionable Insights: Data analytics is all about turning raw data into actionable insights that can inform business decisions. Companies are investing in tools and technologies that can help them translate data into clear, concise, and actionable information. By staying informed about these trends and implementing the right strategies, businesses can leverage the power of data analytics to achieve their goals and stay ahead of the competition. Interested in benefiting from these trends? Contact us to schedule a 30-minute free consultation to learn how you can leverage this technology. https://lnkd.in/ggDsM76U #dataanalytics #datadriven #AI #machinelearning #datagovernance #data
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Data and Analytics: Reshaping the Future of Financial Services The financial services industry is undergoing a transformative shift driven by data and analytics. This insightful article from B News explores how these powerful tools are revolutionizing the way we manage money. Here's how big data and analytics are impacting financial services: 🟠 Personalized experiences: Banks and financial institutions are leveraging data to personalize products and services, providing a more relevant and tailored experience for customers. 🟠 Enhanced risk management: Data analysis helps identify and mitigate risks, leading to more secure and stable financial systems. 🟠 Fraud detection and prevention: Advanced analytics can detect fraudulent activity in real-time, protecting customers and businesses. 🟠 Improved decision-making: Data-driven insights empower institutions to make better decisions on investments, lending practices, and resource allocation. The future of finance is data-driven. Are you ready to embrace this change? Contact Blue Orange Digital to schedule a free consultation. https://lnkd.in/dqckaGmn #data #analytics #financialservices #fintech #innovation #futureofwork #customercentricity Brian Ashurst Dean Cirielli Brett Byriel Diana Bald
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🚀 This Week in Tech Databricks Report Highlights Enterprise Challenges in Supporting AI Some Key Findings: 🟠 Widespread Adoption with Infrastructure Concerns: While 85% of surveyed organizations are using generative AI in at least one business function, only 22% feel that their current IT infrastructure can support new AI applications effectively. This indicates a significant gap between AI adoption and the readiness of enterprise infrastructures to support these technologies. 🟠 Challenges in Data Integration and Management: Many organizations face issues with data fragmentation and the challenge of integrating AI into their existing data systems. About 48% of data engineers spend most of their time resolving issues related to data source connections, highlighting the need for robust data management strategies to support AI initiatives. 🟠 Potential for AI-driven Transformation: Despite the challenges, there is a clear recognition of AI’s potential to transform business operations. The report suggests that enterprises are keen to integrate AI to enhance decision-making and operational efficiencies, but they must first overcome substantial hurdles in infrastructure and data management to fully leverage AI capabilities. Continue exploring this article by subscribing to our Biweekly Data & Analytics Digest https://lnkd.in/ef4-b8dW #DataAnalytics #IndustryNews #ActionableInsights #DataProfessionals #Newsletter #StayAhead #BiWeeklyUpdates #DataCommunity #biweeklydataanalyticsdigest #Blueorangedigital