Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Per IDC, it’s the #1 CDP in worldwide market share four years in a row (2019-2022). Using Twilio Segment, companies can collect, unify and route their customer data into any system where it’s needed to better understand their customers and create seamless, compelling experiences in real-time. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs.
OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework:
Comprehensive Data Quality
Matching
Profiling
Data/Address Standardization
Master Data Management
Customer 360 View
Data Governance
Business Glossary
Meta Data Management
Advertisers worldwide use Kochava to measure what matters most across any channel, any device, and any audience. Founded in 2011 as one of the first mobile measurement partners (MMPs), Kochava now supports campaign measurement on mobile and beyond. Tap into multi-touch attribution, modern MMM, and always-on incremental measurement disciplines to achieve a data-driven, privacy-durable growth strategy. Know which omnichannel tactics drive customer acquisition and retention across connected devices.
Key features include: omnichannel app attribution & analytics, cost & ROI measurement, deep linking, marketing data management & ETL support, ad fraud detection & prevention, and strategic services. The Kochava library of software development kits (SDKs) provide out-of-the-box measurement support across mobile, CTV, web, and other connected devices. Built-in integrations enable clients to activate and measure campaigns with thousands of ad networks, CTV platforms, publishers & more.
Use Semarchy unified data platform to experience xDM. Discover, govern, enrich, enlighten and manage data.
You can easily transform data into insights with xDM and rapidly deliver data-rich applications with automated master data management. Its business-centric interfaces provide for rapid creation and adoption of data-rich applications, while automation rapidly generates applications to your specific requirements. Use the agile platform to quickly expand or evolve data applications.
Qrvey is the only solution for embedded analytics with a built-in data lake.
Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.
Qrvey’s multi-tenant data lake includes:
- Elasticsearch as the analytics engine
- A unified data pipeline for ingestion and transformation
- A complete semantic layer for simple user and data security integration
Qrvey’s embedded visualizations support everything from:
- standard dashboards and templates
- self-service reporting
- user-level personalization
- individual dataset creation
- data-driven workflow automation
Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.
Less time and money on analytics
(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”.
Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners?
Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance.
DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%.
"What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.
IBM SPSS Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making.
Advanced statistical procedures and visualization can provide a robust, user friendly and an integrated platform to understand your data and solve complex business and research problems.
• Addresses all facets of the analytical process from data preparation and management to analysis and reporting
• Provides tailored functionality and customizable interfaces for different skill levels and functional responsibilities
• Delivers graphs and presentation-ready reports to easily communicate results
Organizations of all types have relied on proven IBM SPSS Statistics technology to increase revenue, outmaneuver competitors, conduct research, and data driven decision-making.
Plaid is a global data network that powers the tools millions of people rely on to live a healthier financial life. Our ambition is to facilitate a more inclusive, competitive, and mutually beneficial financial system by simplifying payments, revolutionizing lending, and leading the fight against fraud.
Plaid works with over 8,000 companies including fintechs like Venmo and SoFi, several of the Fortune 500, and many of the largest banks to empower people with more choice and control over how they manage their money. Headquartered in San Francisco, Plaid’s network spans over 12,000 institutions across the US, Canada, UK and Europe.
Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.
Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.
