AssetData

German multinational chemical company, BASF and Finnish industrial machinery company, Metso Outotec, have both signed data collaboration deals with intelligent business asset management system, AssetData.

AssetData will act as a new marketing platform and a pre-sales tool for both companies.  

BASF will promote its chemicals for the mining solutions and gold industry on the platform in Russia and the CIS, while Metso Outotec, who produces a wide range of equipment for the mining and metallurgy industries, will highlight its industrial pumps internationally throughout the management system.  

Andrew Usacheff, CEO, AssetData, says:  “We saw that there was no convenient and effective tool for modeling and analysing business cases, investment projects, and business assets so we created a platform which solves this issue.  Paid and free databases integrated into the platform allow users to receive up-to-date data for technical and economic modeling and assessment of investment projects. Process equipment vendors or product suppliers can also post their indicative price lists and the technical specifications of their products. By doing this, they receive a free channel to promote their brand and products to the global market at the earliest stage of the project, namely when feasibility studies and investment planning is being undertaken.”  

Pavel Alexandrov, Head of Sales Mining Solutions Europe and the Middle East, BASF, adds:  “We consider AssetData a very promising way to promote our products in the market.”

About AssetData

AssetData enterprise software platform is a hybrid cross-functional solution which sits at the intersection between Business Intelligence (BI), Decision Support System (DSS), Computer Aided-Design (CAD) and Enterprise Resource Planning (ERP).  Its software allows clients to automate and speed up both the budgeting and pre-project work processes with users, immediately able to see the product line and indicative prices helping them achieve maximum economic effect in the shortest possible time.