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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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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Market360
Market360 is an innovative digital shelf analytics platform powered by artificial intelligence, designed to assist brands, manufacturers, retailers, and distributors in excelling at every phase of the online customer journey. By delivering real-time insights and actionable guidance on various aspects such as product visibility, pricing strategies, promotional efforts, content effectiveness, keyword performance, customer reviews and sentiment, search share, and seller health across multiple marketplaces and channels, it empowers businesses to make informed decisions. The platform is equipped with advanced analytics and GenAI-assisted tools that ensure compliance with brand and channel standards while benchmarking competitive activities. It effectively tracks pricing dynamics and buy-box victories, notifying teams of any content deficiencies or pricing irregularities, enabling businesses to consistently refine their digital shelf strategies. Market360 features customizable dashboards and KPI tracking capabilities that extend across global markets, offering in-depth competitive benchmarking and trend analysis. Furthermore, it enhances marketplace management through modular monitoring that aligns with specific business requirements and scalable delivery options, allowing companies to adapt quickly to market changes and consumer demands. This flexibility ensures that businesses remain agile and responsive in the fast-evolving digital landscape.
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XPLN Suite
The software suite XPLN is one of the leading solutions for collecting current market data, e-commerce price optimization and comprehensive services in the field of Digital Shelf Analytics. A strong focus on technology, innovation and proximity to the customer enable us to deliver higher quality data to our customers and help them grow their business through valuable insights and confident decisions about offers and positioning. Many well-known retailers and brands trust in us.
XPLN allows enterprises to import product or pricing data and automatically collect market prices from multiple online sources. Administrators can use the dashboard to track online ratings, stock levels, prices, marketplace ranking, and other metrics on a centralized platform. It also lets the clients define product repricing strategies based on configured rules, utilize the price monitoring engine to determine required changes, and manually or automatically adjust prices in the database.
XPLN further enables organizations to analyze competitors' product ranges or catalogs for available colors, sizes, variants, or prices. Brand manufacturers can detect unauthorized sellers and determine differences between RRP and selling prices.
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