Renewals are the lifeblood of an organization. Cinchy’s Collaborative Intelligence for Customer Success liberates relevant customer data from siloed applications and spreadsheets, enabling AI to produce collaborative intelligence that enriches your CS tool (e.g. Gainsight) with insights to boost renewals, GRR, NRR, and revenue. Learn more 👉 https://hubs.li/Q02HHw6X0
Cinchy
Dateninfrastruktur und Analytik
Toronto, Ontario 5,511 followers
Cinchy is the cure for data complexity!
Über uns
Cinchy is the world's leading Enterprise Data Collaboration platform. Using data mesh principles, Cinchy liberates data from application silos and transforms it into a network of federated data products. Cinchy makes it simple and secure for teams, systems, and AI to “co-produce” data in real-time. Cinchy eradicates the time-consuming and error-prone processes associated with coordinating and merging changes across multiple teams and systems, steadily increasing efficiencies and 50%+ time and cost savings compared to traditional approaches, including APIs, ETLs, and spreadsheets. Our customers include tier-1 global banks, credit unions, community banks, asset managers, major retailers, higher education, manufacturing, commercial real estate, and more. They use Cinchy to accelerate their critical transformational projects, including: - Co-production of data between systems - Federated data governance & mastering - AI/ML/LLM operationalization (intelligent apps) - Extending data products/mesh beyond analytics - Elimination of spreadsheets from business-critical processes - Legacy system modernization / SaaS augmentation - Compliance and attestation lineage and workflows - 360 “everything” (digital twin’ for customer, employee, etc.) - SaaS license reduction Request a demo with one of our data collaboration experts to explore how Cinchy can help your organization eliminate copy-based data integration, establish meaningful data governance, and initiate a cycle of simplification, collaboration, and ever-increasing efficiency.
- Website
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http://cinchy.com
External link for Cinchy
- Industrie
- Dateninfrastruktur und Analytik
- Größe des Unternehmens
- 51-200 Mitarbeiter
- Hauptsitz
- Toronto, Ontario
- Typ
- In Privatbesitz
- Gegründet
- 2017
- Spezialitäten
- Data Collaboration, Data Fabric, Data Management, Data-Centic, Data Mesh, Dataware, Data Liberation, Data Governence, and Simplification
Standorte
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Primäre
Wegbeschreibung erhalten
530 Adelaide St W
Unit # 6117
Toronto, Ontario M5V 1T5, CA
Employees at Cinchy
Aktualisierungen
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We're #hiring a new Principal Solutions Architect in Greater Toronto Area, Canada. Apply today or share this post with your network.
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In today's fast-paced market, staying ahead means embracing cutting-edge technologies that transform the buyer experience. The Gartner Hype Cycle for Revenue and Sales Technology, 2024 report delves into how new advancements are empowering sellers to understand their customers better and enhance digital selling strategies. Cinchy has been named as a sample vendor in the report for Digital Integration Hub. https://hubs.li/Q02G1kG10
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Happy Cinchiversary to Ryan Nieuwoudt, Adriana Bec, Lovina Christeen Das, Pranay Gongidi, & Jordan Sleightholm CPA, CMA, thanks for all that you do!
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FREE CREDIT UNION WORKSHOP: Join Timothy Robbins, CUDE, Field CTO for Community Financial Services at Cinchy to explore how data collaboration helps credit unions and community banks to go beyond #data analytics with #dataactivation, a capability that actually PUTS YOUR DATA TO WORK. This is an open workshop and all folks are welcome to join to learn and contribute ideas. When: Thursday, June 27 @ 12:30PM ET Where: Zoom call Open zoom link: https://lnkd.in/gib9Pxmk Add to calendar 👉 https://lnkd.in/gdBSm94K #creditunion #creditunions #communitybank #communitybanking #cu
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Cinchy reposted this
Last night, the Cinchy team hosted a technology leadership dinner to discuss Data, AI, and Technology. It was a fantastic evening with great conversation and amazing food—I ate so much food that I skipped breakfast today. 😅 It was amazing being able to interact with so many leaders from household brands that we know so well as Canadians. (Sanofi, CIBC, TD, Loblaw Companies Limited, TELUS, Bell, RBC) Here are a few of the key themes that I took away from the evening 🔥💥: 1. AI continues the trend, before AI, it was crypto, hyper-automation, augmented reality, SaaS, big data, and cloud. The ones who can sift through hype and find true business value will differentiate their firm. 2. AI is not enough. Too many organizations are still focusing on AI outcomes without the data management capability, quality, and governance in place to distribute it at scale. 3. The demand for AI in the workforce is real. People want it....give the people what they want..but how? How will you manage brand risk, compliance, security, and more? 4. AI's role is to support and augment the workforce, stressing the necessity of system and people collaboration operating in hybrid environments. (private cloud, SaaS & on-prem) A big thanks also to Mike Corbett for helping us out! This marks the beginning of the community's journey, with another event on the horizon soon! Happy Friday. #AIisnotEnough #Data #Technology #AI
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Proud to once again be recognized on Database Trends and Applications's Companies that Matter Most in Data. IT spending is predicted to be up 8% this year due largely to AI, but remember AI is NOT enough. AI is limited by the data it is fed, for AI to be relevant you need to unlock data from siloed applications and spreadsheets to produce collaborative intelligence. https://hubs.li/Q02BlSgm0
DBTA 100 2024: The Companies That Matter Most in Data
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Cinchy reposted this
Missing sales and targets despite investing in #AI? AI is not enough, and is only as good as the data it's fed. Download Cinchy's new executive primer to learn how collaborative intelligence enriches customer success. https://lnkd.in/gU8GpN5t #forgepointfamily
How Collaborative Intelligence Enriches Customer Success
cinchy.com
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Cinchy reposted this
Beyond data quality, data accessibility is a big challenge. As we at Cinchy talk to customers, we hear a consistent theme. IT organizations are backed up and getting access to new data is measured in months to quarters not days to weeks. Because of #AI, times have changed. Enterprises need access to not just high quality data, but data that is spread across their organization (and beyond). Getting data access, keeping data access, and maintaining the quality of that data is why AI is not enough on its own. #CollaborativeIntelligence #dataquality #datamanagement #dataintegration #AIisNotEnough
"Data Quality is our largest barrier to AI adoption" - said by one of the world's most sophisticated technology companies. While the hype cycle of AI is still on an exponentially upward trend (for now, anyway) many teams are starting to run into a stark reality: The data required to power the models executives want either A.) does not exist or B.) does exist but isn't trustworthy. Andrew Ng, founder of the AI Fund once stated that the purpose of MLOps is to ensure the availability of high-quality data throughout the ML project lifecycle. I will go one step further than Andrew. I do not believe that Data Quality is a problem that can be solved by data scientists or AI teams. Data Quality is a problem that MUST be solved by data producers. If quality does not exist at the source, then every action you might take is reactive and remedial in nature. Due to the variety of changes to data being virtually limitless, it is impossible to write a test before every possible change without understanding how that change impacts downstream systems. Unfortunately, it will usually take a major incident before most executives acknowledge the potential risks of not having preventative / proactive data quality solutions in place, with explicitly defined ownership at the source. Downstream teams must do the hard work of communicating to data producers the outcomes on AI and other data products when incidents occur. This is the only way engineering organizations will take this problem seriously. Good luck!
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Every application is launching its own AI, but companies are still failing to get the value out of it. Why? AI is not enough. AI is limited by the data it’s fed, and relevant customer data is hidden elsewhere in siloed applications and spreadsheets. Cinchy enables AI to produce collaborative Intelligence that enriches CSM tools and boosts renewals, GRR, NRR, and revenue. Read our perspective, AI Is Not Enough – How Collaborative Intelligence Enriches Customer Success, to learn more. https://hubs.li/Q02y-0pm0
How Collaborative Intelligence Enriches Customer Success
cinchy.com