|
|
Related Products
-
Quaeris
Explore data and get instant insights by searching your corporate data - like Google for your data! Personalized, based on your interests, role, and history. Pin these insights to build personal pinboard/dashboards, share and collaborate on your insights and become truly data-driven.
Quaeris is based on GPT (Generative pre-trained transformer), the same technology that drives ChatGPT. With Quaeris you get the security and privacy that your data deserves! Get GPT for your corporate data and enjoy the power of true self-service with Quaeris!
Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!
-
IBM SPSS Statistics
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.
-
Raima Database Manager (RDM)
Raima Database Manager is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS . Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments.
-
IBM Cognos Analytics
IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions.
IBM Cognos Analytics gives every user — whether data scientist, business analyst or non-IT specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deeper understanding of outcomes and challenge the status quo.
Visualize, analyze and share actionable insights about your data with anyone in your organization with IBM Cognos Analytics.
-
Golioth
Connect and secure devices, send sensor data to the web, update firmware over the air, and scale your fleet with our instant IoT cloud.
Select hardware and connectivity that meets your needs from your preferred vendor.
Use the open source Golioth Device SDK to integrate with your firmware securely. Once connected you can instantly monitor, manage, and update your devices from the Golioth console.
We’re a group of industry-leading hardware, firmware, and cloud engineers. We understand the struggle to connect “sand” to the internet, so we built a better way to do just that. We’re built for the embedded developer workflow. Use the tools you’re already familiar with to build robust and reliable devices, faster.
Choose from hundreds of hardware options and a variety of connectivity types, protocols, and multiple embedded RTOS providers.
Golioth provides a single control plane for all your devices, whether you’re exploring an idea, or improving an existing project.
-
Domo
Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.
-
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
-
Twilio
Design and deploy your ideal customer engagement experience. Twilio is a single fully-programmable platform with flexible APIs for any channel and over 400+ integrations, backed by a community of over 9 million developers. Build accurate and personalized experiences for your customers, easily and at scale, using SMS and WhatsApp messaging, voice, video, email, and more.
Browse documentation and SDKs in multiple coding languages, including Ruby, Python, PHP, Node.js, java, and C#, or jumpstart your first project with our open source code templates to quickly build production-ready communications apps. Sign up and start building today.
-
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.
-
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)
|
|