Accurate financial appraisal of your scheme is vital to ensure best outcome whilst meeting local housing needs.
Viability by tenure, dwelling and scheme. NPV and long-term cashflow displayed instantly.
Assess land values and gross profit with minimal information.
Housing developers have a broad range of challenges that are often difficult to meet. There are complex internal and external processes that change as new regulations are introduced.
Our network of experts cover all areas of housing, offering consultancy, mentoring and training for both social and private development.
Effective project management will ensure that you monitor development cashflow, workflow and people.
Monitor your entire programme. Keep track of budgets, manage workflows and compare estimates to actual spend.
Industry standard procedures ensure you comply with all regulations.
Achieving best value is essential for your organisation. You must demonstrate continuous improvement and show how you compare with your peers.
Measure performance with online scheme reports. Annual written report indicates progress against a variety of Key Performance Indicators.
Social Housing landlords in today’s market must understand the economic value of their properties.
Analyse your entire portfolio to see which units are most valuable and which need to be considered for a change of tenure or sale.
With buyers and tenants eager to find homes, you need to find them the right property.
Associations can pool lists of prospects against available properties and augment with soft data to rank applicants for the best match.
Increasingly, SDS is being asked by Housing Associations (HA) for a more complete holistic view of their social and affordable housing portfolio. They need Social and Sustainability metrics alongside the financial Net Present Value (NPV) scores to achieve the objective of reporting both financial and social returns across their business and as the saying goes “What gets measured gets done”.
Having a combination of financial and social scores enables the HA to better know and understand their portfolio. They can investigate and plan their strategic and tactical investment responses and act according. For example, an area with a low sustainability score may be experiencing low tenant demand alongside high void rates and above average turnover. Resident surveys may indicate a desire to live in the area, but a lack of child friendly outdoor spaces. The Provider can invest in local amenities, or youth focussed social programmes to help alleviate this position. This will improve local area sustainability alongside making use of and earning rent from void properties.
Data categories can be broadly split into internal and external data. Internal sources will usually be at the unit or scheme level, and dependant on the strategy and focus of the organisation. External sources may be limited to Lower Super Output Area if from an official Government source, although postcode or unit level data may be able to be purchased from commercial providers.
Take a look at the examples here:
Using SDS Stock Profiler, the Provider can import and consolidate data from a range of sources to give a holistic view of the housing portfolio. In other words the HA can know their stock.
For example, if we consider a 5,000 unit HA who has a focus on Housing for Older People. They want to find properties with poor internal Energy ratings (worse than 5 out of 10), with low Repairs Team visits (less than 2 in the reporting period) and with high Tenant Support Matrix Score from the Neighbourhoods team (more than 8 out of 10). SDS Stock Profiler helps investigate down to the specific 517 units that represent the Housing for Older People property set, and then down to the 13 units of particular concern.
Each of these properties can be reviewed by a cross-functional team from Neighbourhoods, Repairs, Planned Asset Maintenance and Asset Management to ensure the properties each meet both the Mission of the organisation and the Asset Strategy. While each property has a positive NPV there may be further financial hurdle values to pass before the property can be evaluated further. Each property that matches the selection criteria moves into the next phase to ACT as part of a remedial action plan, for those that don’t comply, further option appraisal work is undertaken. A remedial action plan may include priority Stock Condition Surveys, a re-phasing of planned major repairs to improve energy efficiency alongside a visit from the Neighbourhood team to offer social and inclusion programme support.
Figure 1: Stock Profiler showing 517 example Housing for Older People units filtered by 3 variables
An additional benefit of this analysis is visibility of hidden problems. For example, a property with low repairs visits may be considered a good property that does not give any problems. However the lack of Repairs Team visits may mask property issues when a resident does not want to bother the Provider and the property falls into disrepair. It may be more costly to replace faulty components than service or repair the components in the long run.
It is worth pointing out one property (1087000300) in the dataset above with an Index of Multiple Deprivation decile score of 4. This indicates the unit is in an area of higher deprivation relative to other areas in the country and in particular the 13 units under consideration. This property and its resident tenant may be the first on the list for immediate action when the team come to ACT.
The data sets available on your property portfolio are wide and varied, from internal system generated property data, to commercial data sets, to publicly published data sets. The skill is in processing that data so it is meaningful to the person who receives it and turns it into information to KNOW your stock. A clear understanding the priorities of your organisation will allow the most meaningful data to be selected and into insights to improve the financial and social value for your organisation.
Like most things, electronic desktop analysis can take the assessment process so far. Experience, local knowledge and field data should be used to sense check the findings and system derived data sets.
SDS Stock Profiler is a data mining and consolidation tool that combines internal financial alongside internal and external sustainability data to enable a social housing provider to profile, report and map their housing portfolio using financial (quantitative) and social (qualitative) metrics.
SDS Asset Consultancy use a KNOW, INVESTIGATE, ACT approach to Active Asset Management.