Google Cloud BigQuery
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.
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DataBuck
(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)
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Qrvey
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
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Improvado
Improvado is an ETL solution that facilitates data pipeline automation for marketing teams without any technical skills required. This platform ensures data accuracy and transparency and supports marketers in making data-driven and informed decisions. It is a comprehensive solution to integrate marketing data across the organization.
Improvado extracts data from a marketing data source, cleans, transforms, and normalizes it, and seamlessly loads the results into a marketing dashboard. Currently, it has more than 200 pre-built connectors. The Improvado team implements new connectors for their clients upon request.
With Improvado, marketers can consolidate all marketing data in one place for better insights into how they’re doing across channels, analyze attribution models and detailed e-commerce insights, and get accurate ROMI data.
Improvado is being used by companies like Asus, Gymshark, BayCare, Monster Energy, Illy, and other organizations from different industries as their marke
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