Business cases

Here are some customers challenges and how DEMS solved them

Business case n°1

Energy Sector/Oil & Gas – Exploration and Production

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Business case n°2 :

Insurance – Premium Invoicing and Claims handling

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Business case n°3 :

Food industry – Supply Chain Strategic Sourcing

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Business case n°4 :

Telecom – Post merger inventory management and cash collection

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 Business case n°5 :

Banking – Loan approvals

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Business case n°6 :

Air Transport – Partner Accreditation

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Business case n°7 :

Supply Chain – Customer and Vendor Management, Packing and Product Formulation

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Business case n°8 :

Banking  – Net Asset Value

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Business case n°1 :

Multinational Energy Sector/Oil & Gas Company – Exploration and Production

Customer Opportunity

  • Reduce non-productivity of workforce
  • Increase oil well production efficiency

 

Customer Problem Statement

In the past, our client had implemented a perfomance management system based on historical data to provide insights on minimising oil down time. Looking at historical performance data, engineers in the company focused on increasing uptime of each well with the highest priority placed on badly performing oil wells.

Thanks to DEMS, our client implemented a forward looking prescriptive Key Value Indicator. DEMS established a KVI which included the number of barrels planned to be extracted from the wells over the next 50 days. This KVI demonstrated that the focus should be on improving high production wells regardless of their performance. Needless to say, this was a different way of thinking about production for our client. DEMS was able to make transparent the defects that impact upcoming production. Their by reversing risk of 50% for upcoming production. With these new insights, our customer adjusted operational prioritisation to manage future impact.

  • Staff Productivity

  • Production Volume

 

Customer Impact

DEMS identified over 50% of upcoming production at risk

Data Excellence Indicator Results 96.8% : 1240 objects impacting the value

Key Value Indicator Results : 1 billion CHF loss avoided

Business case n°2 :

Insurance – Premium Invoicing and Claims handling

Customer Opportunity

  • Improve cash collection

  • Improve customer retention

 

Customer Problem Statement

Our client, an insurance company, had an issue with cash collection on premium invoices. Via the DEMS application, Global Data Excellence linked the client’s business rules that governed contract values with the companies payment compliancy terms business rules. Via this linkage, a mechimism to correct and recovery these revenues was established.

At the same time, our client was using targets on claims handling (number of days for claims settlement) to drive customer retention (e.g. faster claims settlement = higher customer rentention.) In fact, the customer retention was falling. By deploying the contract claims value to the claims handling times, we established that although the average handling delays were good, this was mainly due to low value contracts and claims at the expense of low performance on the high value contracts and claims, leading to key account retention problem. With this new KVI, the claims handling is now prioritised correctly.

  • Contract Amount

  • Claims Amount

Customer Impact

  • GDE identified premium contract terms non-compliance representing 5% of total annual turnover of our client.
  • As well, uncovering strategic error in customer rentention targets.

Business case n°3 :

Food industry – Supply Chain Strategic Sourcing

Customer Opportunity

  • Reduce Sourcing Cost

 

Customer Problem Statement

Before applying DEMS, a global food manfacture had limited transparency to the volume of suppliers providing certain food ingredients. After applying DEMS, our client was able to establish a key value indicator on production cost versus sourcing cost. Linking the two cost in DEMS provided the necessary visiblity to improve the rationalisation of the client’s sourcing of food ingredients. The application of DEMS made transparent the client’s high value streams within it’s supply chain. And, provided the client the ability to determine ongoing consolidation of suppliers and improvements.

  • Production budget

Customer Impact

  • 1Billion USD per year

Business case n°4 :

Telecom – Post merger inventory management and cash collection

Customer Opportunity

  • Rationalisation of saleable inventory following a merger

  • 2B USD in unpaid Invoices

 

Customer Problem Statement

Following a merger, a telecom giant needed to reduce its’ number of saleable items. By linking, via DEMS, the product sales amount to product parameters such as features, a massive reduction and phase-out plan was delivered for half of the 300,000 saleable items.

The client also had a cash collection issue and had engaged costly collection agents. By linking amount of contractual payment terms from two pre-merger ERP systems, we found that 40% of invoices were wrongly issued and saved significant collection cost.

  • Invoice Amount

  • Sales amount by product

Customer Impact

  • Number of saleable items reduced from 300,000 to 150,000,  reducing global operating cost by 5%

  • Identification of 40% unpaid invoices due to wrong payment terms

Business case n°5 :

Banking – Loan approvals

Customer Opportunity

  • Reduce the number of loans refusals due to data errors

 

Customer Problem Statement

A (small) bank found that too many loans were refused based on wrong data. Via DEMS, we linked loan approval data such as age of applicant to the disapprovals and identified the losses due to structure data issues.

  • Loan Value

Customer Impact

  • Identified 20M USD deposit loss due to defecting clients following loan refusal

  • Identified 1.5M USD missed loans

Business case n°6 :

Air Transport – Partner Accreditation

Customer Opportunity

  • Effective data migration

 

Customer Problem Statement

An airline trade association was migrating a partner accreditation database to a new system and realised that the data for determing bad payers was faulty. This could lead to unwarranted partnership terminations or loss of funds through undetected fraudsters. By defining a KVI, via DEMS, on potential and realised settlement losses and associating them with payment history, we were able to locate faulty data for critical cases and fix them. This reduced the data correction load by 95%.

  • Settlement loss


Customer Impact

  • Avoided 50M USD in future trading losses

Business case n°7 :

Supply Chain – Customer and Vendor Management, Packing and Product Formulation

Customer Opportunity

 

Customer Problem Statement

The implementation of a new data governance framework and a value based management of data led to the creation of a task force to improve the entire supply chain. For example, custom checks and delays were avoided through way bill quality improvements; customer cash flow was improved through first time-right invoicing and production improved through data quality improvements in resource management.

  • Invoice Amount

  • Product sales

  • Purchasing amount

     

 

Customer Impact

  • Recurrent business improvement

Business case n°8 :

Banking – Net Asset Value

Customer Opportunity

  • Identify and correct discrepancy between calculated NAV and real NAV

  • Loss of trades due to late or wrong NAV Calculation

 

Customer Problem Statement

The bank had an almost complete disconnect between the centrally managed NAV calculation and the NAV valuation used in operations. In theory the bank shouldn’t be able to trade but in practice the operations team had developed massive workarounds that took up a lot of resources. By implementing wrong and late NAV calculation KVIs, we identifed the structural cause for this breakdown down to the specific errors and accountable/responsible individuals.

  • Net Asset Value amount

Customer Impact

  • Structural problems with NAV calcuation with 2000 funds identified

You are an IT Expert ?

You’ll find here our three datasheets with all the technical information you need about DEMS, Verbatim & GDPR.

DEMS Datasheet 2020
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Verbatim Datasheet 2023

Verbatim Datasheet 2023
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GDPR Datasheet 2020
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