BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Quaeris
Based on your interests, history, and role, you will receive personalized and recommended results. QuaerisAI provides near-real-time data access for all data. QuaerisAI enhances your data and document workload with AI.
To increase knowledge sharing and track performance, teams can share insights and pinboards. Our advanced AI engine transforms your inquiry to a database-ready language within micro-seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.
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icCube
icCube, a Swiss-made analytics solution, is crafted for B2B SaaS product and development teams aiming to integrate advanced analytics directly into their applications. Our dashboards are designed to merge effortlessly within the SaaS solution's UI and UX, powered by icCube’s strong analytical engine, which supports complex data models with high-level security features.
Adopting a developer-to-developer approach, the icCube team guides clients to ensure a smooth, rapid transition to production.
We recognize the challenges of data navigation, so we’re thrilled to offer our Data Analytics Boutique Services. Tailored for both new and existing clients, this suite provides seamless data integration, fortified security, deep insights, automated decision-making, and visually impactful reports.
At every project stage and throughout the product lifecycle, we partner closely with our clients, from providing quick feedback to full project and product launches.
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