The analytics put: The BI solution for production

The solution is removed from distribution. Requires refining.

Benefits from implementation of the BI solution for production:

• implementation of marketing strategy in production - formation of a system of the productive activity focused on demand;
• production process balancing - synchronization of production and different business processes; purchases, planning, sales, research and development;
• independence of circumstances - risk minimization of change of suppliers, mismatch to regulatory requirements and growth of expenses;
• control of production losses - the transparent system of production chains of value creation and points of emergence of losses;
• transparent management of reengineering and technology innovations - effective control of use of modern methodologies of improvement of processes (Six Sigma, Lean, TPS, etc.).

The BI solution is necessary if:

it is required to manage financial and economic activity effectively:

• construct a budgeting system and business planning;
• lower debit and creditor debts;
• increase liquidity of warehouse stocks;
• optimize and improve control of direct and indirect costs

it is necessary to manage production process effectively:

• increase flexibility of production planning;
• construct the working products quality control system;
• create an analysis system and forecasting of the future demand for products;
• reduce time of new product development;
• optimize logistics.

What allows to do the BI solution for production?

• carry out the analysis of dynamics of release, defects percent, timing of transactions and loss;
• analyze dynamics of schedule performance of production by workshops, crews and individual employees;
• model cost value depending on change of different factors;
• estimate efficiency of certain platforms, workshops, crews, work centers, contractors, etc.;
• reveal points of emergence of failures in balance of a production process;
• in advance to predict deviations from plans and to approve interdependent production processes;
• carry out contrastive analysis of any data arrays by any set criteria in a tabular and graphic style;
• prepare the necessary "flat" reporting;
• create notifications at emergence of threshold KPI values.
• consolidate data from all systems implemented at the enterprise (ERP SCM MES etc.).