Tender

Supply and Installation of a Planning & Forecasting System Solution

UNIVERSITY OF LEEDS

This public procurement record has 2 releases in its history.

TenderAmendment

18 Nov 2017 at 14:51

Tender Notice
Tender

18 Nov 2017 at 10:00

Tender Notice
Summary of the contracting process

The University of Leeds is currently seeking suppliers for the "Supply and Installation of a Planning & Forecasting System Solution." This procurement, categorised under software package and information systems, is structured to improve the accuracy of research and student number plans while enhancing overall decision-making capabilities. Located in Leeds, Yorkshire and the Humber, the tender is in the active stage, with the tender period concluding on 1st August 2018. The resulting contract is expected to commence on 2nd August 2018 and will last until 3rd August 2018.

This tender presents a significant opportunity for software and IT service providers, particularly those experienced in system integration and custom software development. Businesses with a background in providing innovative planning and forecasting solutions that can seamlessly link with existing university systems will be particularly well-suited. Small and medium-sized enterprises (SMEs) are encouraged to participate in this tender, as the University is keen to support diverse suppliers, which could foster partnerships and expansion in the educational technology sector.

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Notice Information

Notice Title

Supply and Installation of a Planning & Forecasting System Solution

Notice Description

Text to be corrected in the original notice: Place of text to be modified: II.2.4 Instead of: The University of Leeds (UoL) aims to support its strategic objective to deliver streamlined, agile and responsive processes, systems and services by procuring & implementing a Solution that will enable the institution to better understand, scrutinize and challenge the deliverability of research and student number plans, improve tracking and forecasting against strategic ambitions in the areas of research funding and student recruitment, and better inform timely strategic decision making in response to the data. Read: The University of Leeds (UoL) aims to support its strategic objective to deliver streamlined, agile and responsive processes, systems and services by procuring & implementing a Solution that will enable the institution to better understand, scrutinize and challenge the deliverability of research and student number plans, improve tracking and forecasting against strategic ambitions in the areas of research funding and student recruitment, and better inform timely strategic decision making in response to the data. The Planning & Forecasting Solution should be able to support: -Student number and fee income planning, forecasting and reporting -Research grant income and recoveries planning, forecasting and reporting -Income & Expenditure consolidation and financial reporting -Potential for future extension into resource planning, financial planning and resource allocation. The above activities are currently manual, inefficient, they lack transparency and are unable to flexibly respond to the challenges of the Higher Education environment. We expect the Planning & Forecasting Solution to integrate with the existing UoL systems via API's/web services in order to be able to extract various types of data sets as well as being able to import/export data with external sources (i.e. UCAS, HESA, demographics, etc) via spreadsheets and flat files. It should be able to plan at a lowest level of data providing bottom-up and top-down planning capability, rapid aggregation and drill-down functionality. It should support target setting, scenario planning, flexible modelling and forecasting at different levels. It should also allow in-cycle and real-time changes/impact visibility, workflow management and historical view for audit purposes. It is expected the Planning & Forecasting Solution will be used by a large number of users across multi-site locations and it should support simultaneous entries with a user-friendly interface. In view of the uncertainty within the HE environment we would expect to see changes in the planning and reporting on student loads and fees, therefore this Solution should provide enough flexibility to deal with new income models over time and offer opportunity for further enhancements. In that regard the University will be holding a 'Supplier Event', to undertake market engagement based on the development of the requ

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-a5378cc6-15b8-47f2-8375-2bcc43e290f0
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/a111c149-90ba-46ab-9cef-d9187107112b
Current Stage
Tender
All Stages
Tender

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Tender Suitability
SME
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems

CPV Codes

48000000 - Software package and information systems

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
18 Nov 20178 years ago
Submission Deadline
1 Aug 2018Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
1 Aug 2018 - 3 Aug 2018 30 days
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
UNIVERSITY OF LEEDS
Contact Name
Not specified
Contact Email
d.mclaren@leeds.ac.uk
Contact Phone
+441133434104

Buyer Location

Locality
LEEDS
Postcode
LS2 9JZ
Post Town
Leeds
Country
England
Major Region (ITL 1)
TLE Yorkshire and The Humber
Basic Region (ITL 2)
TLE4 West Yorkshire
Small Region (ITL 3)
TLE42 Leeds
Delivery Location
TLE Yorkshire and The Humber
Local Authority
Leeds
Electoral Ward
Little London & Woodhouse
Westminster Constituency
Leeds Central and Headingley

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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