Data-driven organizations, which make decisions based on facts, are more efficient and competitive. Challenges of multiple data typeintegrity, data analysis, and decision making are becoming more complex in manufacturing and operationsdue to the work environment, the number of data types and sources, information infrastructure, and human resourcescapabilities.

Sodastream, a worldwide leader of home sparkling water makers, operates manufacturing plants in eight countries and five continents. The company drives standardization and OEE (Overall Equipment Effectiveness) improvement across all our plants and manufacturing sites by creating uniform KPIs and advanced analytics tools. Implementation of real-time analytics creates better insights and positively impacts operational fundamentals like material costs, machine times, and labor costs.

In the IT organization, our goal is to ensure effective execution of manufacturing operations and improve overall production efficiency using data-driven decision-making and actionable intelligence.

We stick to several guidelines that help us focus and deploy Manufacturing Operational Intelligence & Real-Time Analyticsglobally:

• A solution as a 'Product':Relies on an out–of–the–box IT product that combines a data collection platform that seamlessly supports mobile and desktop platforms, integration tools, built-in BI capabilities with reports KPI, and self-service analytics. Many manufacturing companies implement ERP and MES on the shop floor from scratch as a "white canvas" and customize processes, KPI's, and reports. Leveraging existing products without developments and customizations drives best practices and ongoing improvements. In most of our manufacturing sites, we found that English is a barrier for some employees. The built-in multi-lingual product bridges language and culture gaps and helps to accelerate the implementation. 

 When data consumers focus on the shopfloor's essential elements and critical production path, manufacturing intelligence becomes effective. 

• The mobile revolution on the shop floor: All reported data and most of the consumed information on the shop floor is executed by mobile devices (tablets or smartphones). Mobile products are more user-friendly and enable fast deployment in multi-sites. We leverage the Bring Your Own Device approach to allow line managers and mid-managers to make quick decisions while off the shop floor, even if they don't own a company mobile phone.

• SaaS (Software as a Service): Traditional MES and ERP's require installations, upgrades, security patches, and unique hardware. In Sodastream, we insist on Saas-based solutions only. Receive several software upgrades and system improvements in a year allow focus on business needs instead of IT requirements and accelerates best practice and process improvements.

• Visualization:We manage thousands of different data types on the supply chain. When data consumers focus on the shopfloor's essential elements and critical production path, manufacturing intelligence becomes effective. We provide mobile access to all managers in the supply chain with built-in KPIs and reports. Sophisticated analysis is commonly generated on the desktop version of the analytical platform.

To engage all employees, we use traffic light-based production information on unique screens on the shop floor with intuitive meanings like those:

• Green – production line output is faster than average for the last 10 minutes

• Yellow – production line output is faster than average for the last 10 minutes

• Red – production line stopped

• Gray – production line is not planned

• I'll be happy to support colleges and share my experience with Manufacturing Operational Intelligence & Real-Time Analytics. Reach me on my email:nirre@sodastream.com