Dynamic Forecasting Archives

Dynamic forecasting - 20 year time horizon

Causality model for complex data sets to drive business planning over a 10 to 20 year horizon

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Causality model for complex data sets to drive business planning over a 10 to 20 year horizon

Dynamic Forecasting

Causality model for complex data sets to drive business planning over a 10 to 20 year horizon

Dynamic Forecasting

diamela2021-03-02T21:04:30+00:00

. Case Study: Demand Forecasting / International Consumer [...]

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Forecast production requirements for 6 international markets using 2,000 internal and external parameters

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Forecast production requirements for 6 international markets using 2,000 internal and external parameters

Dynamic Forecasting

Forecast production requirements for 6 international markets using 2,000 internal and external parameters

Dynamic Forecasting

diamela2021-02-26T22:38:27+00:00

. Case Study: Demand Forecasting / International Drink [...]

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Severe customer churn due to commoditization

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Severe customer churn due to commoditization

Dynamic Forecasting

Severe customer churn due to commoditization

Dynamic Forecasting

diamela2021-02-24T16:44:31+00:00

. Case Study: Demand Forecasting / Global Internet [...]

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Costly, sub-optimal logistics scheduling

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Costly, sub-optimal logistics scheduling

Dynamic Forecasting

Costly, sub-optimal logistics scheduling

Dynamic Forecasting

diamela2021-02-26T22:36:20+00:00

. Case Study: Dynamic Forecasting / Global Logistics [...]

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Inaccurate forecasting impacting profitability

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Inaccurate forecasting impacting profitability

Dynamic Forecasting

Inaccurate forecasting impacting profitability

Dynamic Forecasting

diamela2021-02-24T16:04:48+00:00

. Case Study: Demand Forecasting / Global Automotive Components [...]

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“Teranalytics has a unique ability to apply deep data analytics to business management and strategy in a very tailored and actionable way.”

Fernando Bayeux, Global Innovation Director Anheuser - Busch InBev

“Teranalytics delivered a game-changing product for our clinical trial due diligence process.”

Tatyana Abyzov, Due Diligence Lead, Shire-Takeda

“Teranalytics listened, understood our business challenge, and went all-in to extract the relevant information from our data.”

Tatjana Heller, Head of Portfolio Analytics, Novartis

“We now have a real-time, proactive system that has significantly improved our productivity”

Jose Lefebre, Production Manager at Coca-Cola Bottlers

Dynamic Forecasting

Causality model for complex data sets to drive business planning over a 10 to 20 year horizon

Causality model for complex data sets to drive business planning over a 10 to 20 year horizon

Forecast production requirements for 6 international markets using 2,000 internal and external parameters

Forecast production requirements for 6 international markets using 2,000 internal and external parameters

Severe customer churn due to commoditization

Severe customer churn due to commoditization

Costly, sub-optimal logistics scheduling

Costly, sub-optimal logistics scheduling

Inaccurate forecasting impacting profitability

Inaccurate forecasting impacting profitability

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