Developing materials requirement plans can provide a real challenge to manufacturers of products that contain thousands of sub-component parts used across hundreds of products.  The hundreds of finished goods are forecasted items for the business. Forecasts are often changed daily due to evolving customer demand and fluid sales and marketing initiatives. Products are manufactured with multiple layers of sub-assemblies composed of discrete raw materials  with different units of measure, preventing the ERP system from accurately calculating and aggregating demand for raw materials purchases. Purchases are based on “guesses” that results in over purchasing of components that then sit idly in a warehouse, or worse, under-purchasing that results in component shortages, manufacturing slowdowns and frustrated customers.

TRANSDATA enables the import of current bills of material and real time forecasts from the field.  TRANSDATA allows for easy cleaning, merging and organizing of field forecasts that differ greatly by reporting entity.  The data can be reaggregated by sub-component. Demand can be calculated for different usage levels of subcomponent assemblies and reaggregated for different raw materials, resulting in an accurate and efficient materials purchasing effort, saving time and money while optimizing purchasing to meet customer demand.

Proper Profitability Forecasting is based on your company’s operations, financial results over the past few years, position in the marketplace, and inherent market characteristics. Enterprise Resource Planning (ERP) systems generate layered, complex data creating forecasting challenges.

TRANSDATA helps facilitate models that drive more accurate Revenue, Expense, and Cash forecasting, incorporating company-unique mechanisms and drivers such as Staff Rosters, Trended Costs, Geographic Sensitivities, and Hiring, resulting in a unified method suited for the organization’s unique forecasting needs. Additionally, TRANSDATA will help your organization overcome shortcomings which may be present in its Enterprise Performance Management (EPM) application.

Users of SCADA technology in the Energy Industry are collecting millions of operating and performance data points from power generation equipment, such as wind turbines, each and every day. This data allows them to understand and analyze equipment performance in minute detail across geographically dispersed operating locations.  Overall power generation can be impacted by fractionally misaligned components caused by slight manufacturing faults, adverse weather conditions or maintenance errors. This vast data collection effort presents a variety of challenges.  It is often difficult to maximize the value of all the data collected.  As such, much of the stored data nevers sees the light of day, creating added expense and missed analytic opportunities.  It is also challenging to connect disparate data sets from ERP systems, purchasing and warranty information and maintenance logs.

The TRANSDATA visual data modeling solution allows SCADA users to more easily assess and prioritize the value of various collected data elements. This saves on staff time and can reduce data storage costs. When performance faults are identified, warranty and maintenance records can more easily accessed and matched to the relevant equipment.  Manufacturers can be contacted and asked to remedy warranty items, so that under-performance is limited to the greatest extent possible, which maximizes power generation and profit.

When processing the consolidation of a General Ledger needed for Financial Statement generation, various complications may emerge.  Challenges include incorporating General Ledgers from multiple accounting systems, using differing charts of accounts and several currencies, along with performing allocations. Typical constraints include being limited to running a single formula at a time, one variable/statistical account per calculation, pre-calculation and preloading of accounts prior to allocation. Often times only one target account/parent account and only one offset account/parent are allowed, limiting the ability to choose different account code combinations or a set of account codes, causing the chart of accounts to expand unnecessarily and creating a needless burden.

TRANSDATA works with multiple formulae, performing allocation calculations simultaneously. The statistical account calculation occurs within the allocation design itself, with no extra step of pre-calculating and pre-loading needed. Additionally, TRANSDATA works with factors such as alternate currency rates, resource optimization, numeric targeting, and historic trending, as well as complicated approaches such as multi-driver allocations, historic weights, chargebacks, and the like.