Coginiti

Coginiti

数据基础架构与分析

Atlanta ,GA 14,394 位关注者

Coginiti collaborative applications & workflow for modern analytics teams.

关于我们

Coginiti, the collaborative intelligence company, empowers everyone to get consistent answers fast to any business question. Our collaborative data operations platform provides a unique workspace that empowers the entire organization to build, publish and consume trusted data products. By making quality data widely available and focusing on outcomes over pre-defined output, everyone is freed up to explore and experiment to answer business questions.

网站
https://www.coginiti.co
所属行业
数据基础架构与分析
规模
11-50 人
总部
Atlanta ,GA
类型
私人持股
创立
2020

地点

Coginiti员工

动态

  • 查看Coginiti的公司主页,图片

    14,394 位关注者

    Are you building data products using Google? We're Google Cloud Ready! We have?achieved the following designations: - Google Cloud Ready – BigQuery - Google Cloud Ready - AlloyDB - Google Cloud Ready - CloudSQL - Google Cloud Ready - Regulated & Sovereignty Solutions. When you need a partner to help you build data products and keep your data secure, we're here for you! #GoogleCloudPartners #GoogleCloud

  • 查看Coginiti的公司主页,图片

    14,394 位关注者

    Imagine a single entryway where teams can access, explore, and collaborate on data easily — “one door to data”. With the right data operations platform, you'll gain: 1) Streamlined Access: One platform to connect and access all your data sources. 2) Enhanced Collaboration: Teams work seamlessly, regardless of where data originates. 3) Faster Insights: Empower better decision-making. Is your organization ready to unlock the power of unified data access? #DataAccess #DataPlatform #DataStrategy #OneDoorToData

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  • 查看Coginiti的公司主页,图片

    14,394 位关注者

    We've been on the road for the past several weeks meeting with data leaders and talking with industry experts. The conversations we had were centered around these three topics: Generative AI Integration: Generative AI is transforming data analytics by helping data professionals be more productive, automating complex tasks and enabling the creation of new content from existing data. Open Table Formats: We are at the very beginning of seeing companies implement open table formats. Most are in the exploratory stage but everyone is talking about it. There are several benefits this technology will bring to data leaders, most notably saving money on compute costs. Data Governance and Trust: With the proliferation of data sources and advanced analytics, ensuring data quality, security, and compliance has become paramount. We'd love to hear from you. What topics are you thinking about? What are the main topics of your conversations?

  • 查看Coginiti的公司主页,图片

    14,394 位关注者

    With 2025 around the corner, what’s at the top of your data and analytics agenda for the new year?

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  • 查看Coginiti的公司主页,图片

    14,394 位关注者

    Building reliable data products requires more than just gathering and processing data—it demands testing. Just like in software development, testing data products ensures accuracy, integrity, and trustworthiness of insights. By catching issues early, testing prevents costly errors, enhances user trust, and drives better decision-making across the organization. At Coginiti, we see testing as a cornerstone of quality data solutions. Check out how you can easily implement testing for your data and analytic teams using CoginitiScript: https://lnkd.in/efJEhH4B #DataProducts #DataQuality #Testing #Analytics

    Transform Your SQL with CoginitiScript: Learn How to Organize, Reuse, and Automate SQL Like Software Developers

    Transform Your SQL with CoginitiScript: Learn How to Organize, Reuse, and Automate SQL Like Software Developers

    https://www.coginiti.co

  • 查看Coginiti的公司主页,图片

    14,394 位关注者

    Scattered and multiple data sources, files and data objects can make it very difficult for companies to build and deliver consistent data products. Further, it makes it hard to get a clear picture of their data operations from raw data to finished product. Coginiti’s data operations platform creates a shared analytics workspace that not only improves analytic quality, but also helps reduce costs and improve team productivity. Our CTO, Matthew Mullins, recently demonstrated some of the key features of Coginiti on the latest episode of DEMO hosted by Foundry and CIO Online. https://lnkd.in/gEh_85EQ

    Coginiti solidifies data operations across multiple data sources

    Coginiti solidifies data operations across multiple data sources

    cio.com

  • 查看Coginiti的公司主页,图片

    14,394 位关注者

    To deliver scalable, reliable insights, analytics teams can learn a lot from software development practices. Adopting version control, modular code, and continuous integration makes analytics workflows more agile, transparent, and reproducible. When analysts think like developers, they build processes that foster teamwork, streamline iteration, and ensure data integrity. At Coginiti, we champion this approach—empowering analytic teams to build data products that are not only insightful but also robust and sustainable. Let’s bring a developer mindset to analytics and unlock new levels of efficiency and impact! #Analytics #Collaboration

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  • 查看Coginiti的公司主页,图片

    14,394 位关注者

    As data needs grow, so does compute usage—and without proper management, costs can quickly spiral out of control. Runaway compute costs drain budgets, strain resources, and can halt analytics projects in their tracks. For data teams, this means: Constant budget pressure: Rising costs force teams to justify every compute decision, making it harder to stay focused on innovation. Delayed projects: Teams are often forced to pause or scale back key initiatives just to keep costs in check. Limited experimentation: The freedom to explore and test ideas gets restricted when every query or job has a high price tag. At Coginiti, we’re all about helping data teams optimize compute and get the most value from their resources. By taking control of compute costs, teams can focus on delivering insights and driving impact without the headache of budget battles. Learn more about Coginiti Hybrid Query: https://lnkd.in/e3xFapYb #DataAnalytics #ComputeCosts #DataManagement #DataTeams

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