The amount of data to be stored is growing every day, but data acquisition is not a problem anymore. The challenge is to make sense of the data, reveal the patterns in it, use it for operational improvements, and to support strategic decision making. Manufacturing organizations need to adopt a BI and analytics strategy that allows timely and flexible visibility across the production lifecycle, driving agility and speed-to-market.
Unify all your data sources into one data management system for a full picture of the entire manufacturing lifecycle.
Powerful and fully-featured UI makes analyzing and delivering insight intuitive and familiar.
Condense immense amount of data into a lightweight neural network for analyzing and delivering insight at the edge.
Accelerate the time it takes to connect, mashup, and analyze data across sensors, devices, and business systems, delivering insights into operational and business KPIs.
Connect directly to internal systems (ERP, MES, etc.) to mashup external partners’ data and get complete visibility across your supply chain.
Mashup data around customer behavior, sales, and forecasting to make adjustments and maximize revenue.
Make sense of your manufacturing data with Sisense manufacturing analytics software. From analyzing complex IoT data, to mining historic data from legacy systems, users of any kind—even non-technical ones—can answer game-changing questions like:
Data Analysis, Reports, and Dashboards for Manufacturers:
Sisense simplifies end-to-end BI and drastically reduces the time to insights by enabling manufacturers to manage both business and time-series data in a single source. It is the only manufacturing BI platform that bridges the gap between legacy tools, which have poor analyst usability and modern data discovery tools, which struggle to accurately process big IoT data.
Sisense unifies previously incompatible data to provide a complete picture of the product life cycle at every step of the manufacturing workflow. This leads to more cost-effective production through on-the-edge monitoring and analysis; as well as improved client experiences and optimized business operations through better full-cycle visibility across hardware and business data.