Download PDF
Board
Overview
HQ Location
Switzerland
Year Founded
1994
Company Type
Private
Revenue
$100m-1b
Employees
201 - 1,000
Website
Twitter Handle
Company Description
Board’s Enterprise Planning Platform delivers solutions that help over 2,000 organizations worldwide plan smarter — enabling actionable insights and better outcomes. Board helps leading enterprises discover crucial insights which drive business decisions and unify strategy, finance and operations through more integrated and intelligent planning to achieve full control of performance.
IoT Snapshot
Board is a provider of Industrial IoT platform as a service (paas), analytics and modeling, sensors, functional applications, infrastructure as a service (iaas), and application infrastructure and middleware technologies, and also active in the agriculture, apparel, buildings, consumer goods, e-commerce, equipment and machinery, finance and insurance, food and beverage, packaging, retail, telecommunications, and transportation industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Board’s Technology Stack maps Board’s participation in the platform as a service (paas), analytics and modeling, sensors, functional applications, infrastructure as a service (iaas), and application infrastructure and middleware IoT Technology stack.
-
Devices Layer
-
Edge Layer
-
Cloud Layer
-
Application Layer
-
Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
Integrated Business and Retail Planning at Edeka: A Case Study
EDEKA Northern Bavaria-Saxony-Thuringia, a regional group of the EDEKA network, was facing challenges with its legacy planning systems. The company, which supplies around 900 retail stores, was dealing with increasing data volumes and growing requirements that its existing systems could not handle. The company's Excel-based planning processes were also proving to be inadequate, with employees spending more time preparing the data than analyzing the information it contained. The company's legacy planning system was unable to handle demands such as displaying tour utilization or logistics packing densities, and performance was no longer sufficient for smooth operation. The company was also facing issues with data loading times, which could take up to 24 hours for larger amounts of data from SAP. These challenges led the company to seek a new, more powerful solution for planning, reporting, and analysis.
Case Study
Enhanced Supply Chain and Financial Planning through Integrated Intelligence at Sogegross
Sogegross, a large-scale Italian retailer, was faced with the challenge of managing a complex supply chain and financial planning process. The company needed an operational and organizational information system that could align their business needs with IT requirements within their intricate retail chain. The complexity of their operations required a planning solution that could transform an unstructured information system into a more standardized and functional one. Sogegross' supply chain includes seven platforms dedicated to specific types of products, including fresh food, fruit and vegetables, fish, meat, dry and fresh discounters, packaged food, and frozen products. Annually, they manage over 65,000 tons of fresh products and more than 33,000,000 boxes of packaged goods.
Case Study
Financial Process Transformation at OTC Industrial Technologies through IoT
OTC Industrial Technologies, a rapidly growing industrial solutions provider, faced significant challenges in managing its financial processes across 65 branches and 54 service/repair locations. The company had grown through the acquisition of 30 companies, each with its own ERP system. OTC's initial strategy was to patch together these disparate ERP systems to manage their financial processes, particularly financial consolidation. However, this approach resulted in a lengthy and inefficient consolidation process. The company had to deal with multiple General Ledger (GL) systems and detailed financial and sales reports coming from various dimensions across the business. The consolidation process was not only time-consuming but also lacked the efficiency and accuracy required for effective financial management.