Case Studies

Monarch - Business intelligence for everyone

Other solutions case studies are available by clicking here.

Barnet Council

Monarch has been saving time and increasing efficiency at the council for over 14 years. The highly advanced and yet simple to use Data Mining software makes financial reporting easy.

Brooklyn Motors

Monarch makes light work of IT reporting; “… some of the reporting now done I could not have achieved in a cost effective and timely manner before Monarch”.

Camden Council

Monarch and DataPump are an essential part of the Council’s systems tool kit, going beyond facilitating efficient data processing

Hoppecke Batterrien

Monarch Pro is first choice for Europe’s biggest battery manufacturer, analysing and combining, with other data, the large volume of reports generated from SAP

Logic Field and Event Marketing

Before Monarch, reporting would cost the company as many as 8 working hours per day. Now it takes minutes

Mills & Boon

Love for Monarch blossoms as a three day a month task turns into a simple four hour process, eliminating the need to print huge traditional reports

Moore Stephens Tiller

Monarch adds up to new business value and efficiency for both the company and their clients. “With Monarch we can stop printing reams of paper and put away our calculators”

Neptune Orient Lines

90% reduction in terms of man hours as there is no longer a need to manually produce, analyse and ferry spreadsheets between locations

Robert Horne

The UK’s leading paper merchant exploits Monarch to automate financial reporting. “… we are no longer wading through data, but at last are able to use it”

Tower Hamlets NHS Primary Care Trust

Monarch helps GPs budget for hospital services. Reports can now be prepared in under an hour, a process that used to take two days manually

United States Airforce 52nd Win

Largest USAF fighter operation in Europe. “Monarch provides our office with the reassurance that no matter how much data we pull, we can get at information quickly and easily, allowing staff more time to focus on analysis rather than extraction“