Dark Maven

If you do the X / Bluesky thing, follow me at @HousingITguy or LinkedIn here https://uk.linkedin.com/in/tonysmiththathousingitguy

I read an interesting article in last weeks Guardian about AI targeting of that girls school in Iran and possibly how that went pear-shaped. While most of what papa Trump touches goes wrong this is a surely data shaped cock-up.

The bit in that article lands harder than all the usual breathless AI chat, because it gets to the real problem. It was not some magic machine turning evil on its own. Surprise, surprise it was stale data, bad assumptions, poor governance and human beings building speed on top of shaky foundations. That is the bit people in SocialHousing and Asset Management ought to be paying attention to, because we are in danger of doing our own smaller-scale version of exactly the same thing.

No, social housing is not a war zone (I mean now and again it may feel so!), and I am not being melodramatic. But the underlying lesson is the same. When old, wrong, shanky or incomplete data is fed into newer, faster, more sophisticated reporting tools, the output can look clever while being fundamentally unsound. The system appears confident. The dashboard looks polished. The report has plenty of decimal places. The presentation to the board feels reassuringly modern. Meanwhile the underlying asset data might be a mess. Only our asset management colleagues at the sharp end may actually realise this.

That is our Achilles heel.

I see far too much discussion at the moment about clever tools, predictive analytics, AI, optimisation engines, automated investment planning and all the rest of it, with nowhere near enough honesty about the quality of the data sitting underneath. If your component records are patchy, if installation dates were guessed fifteen years ago during a rushed LSVT stock condition exercise, if replacement history, or subsequent SCS's have not been consistently updated, if attributes have been bulk-loaded from old systems with half the meaning stripped out, then wrapping that in shiny new software does not create truth. It just creates faster nonsense.

And housing does love a bit of faster nonsense at times. We have all seen it. A landlord buys a new asset system, or switches on a new reporting layer, and within five minutes someone wants a thirty-year investment profile, a full life cycle costing model, and a heat map of future liabilities by estate, archetype and component. Lovely stuff on paper. But if your kitchen data is wrong, your roof data is vague, your windows are classified three different ways (by spot cost, by unit, by archetype, or a bit of all?), and half your components are defaulted to generic dates because nobody knew the real answer, then that LCC report is not a strategic asset. It is an expensive comfort blanket.

That is the danger with life cycle costing in particular. People often talk about it as if it is some kind of grown-up, evidence-led answer to long-term planning. In principle, it can be. In practice, it is only as good as the component data, assumptions and replacement rules beneath it. If the dates are wrong, the quantities are wrong, the useful lives are generic, or the survey data is incomplete, then the report can give a completely false sense of control. It can tell you with great confidence that spend will peak in year eight, flatten in year twelve and rise again in year nineteen, when in reality it is built on a pile of half-remembered survey notes, inherited coding structures and wishful thinking.

This is where people get seduced by sophistication. They think the answer to poor information is a better tool. Sometimes the answer is a torch, a clipboard, a proper data model and a grim few months of sorting out the basics. That is less exciting, of course. Nobody gets invited to a conference to say, “we cleaned up our component hierarchy, tightened our validation rules and stopped pretending unknown dates were known.” But that dull work is often worth more than the glossy AI strategy that comes afterwards.

In the article I highlight,  failure was not simply “technology”. The failure was letting a system run at speed while relying on information that no longer matched reality. That should ring bells in housing. We do it when asbestos records are incomplete. We do it when stock condition data is old. We do it when compliance statuses depend on weak integrations. We do it when repairs history does not feed asset intelligence properly. We do it when planned works teams, compliance teams and housing management all hold slightly different versions of the truth and nobody is quite sure which one drives the report to the board.

Then along comes a new supplier or a new platform promising insight. Suddenly old problems are dressed up in modern clothes. Instead of one vaguely  unreliable Excel spreadsheet, you get a dynamic dashboard. Instead of a crude five-year plan, you get scenario modelling. Instead of a rough estimate, you get “predictive” forecasts. But prediction based on bad source data is not insight. It is theatre.

That is the bit I think the sector still does not say loudly enough. Data quality is not some boring back-office technical issue. It is operational risk. It affects compliance, investment, tenant safety, financial planning and organisational credibility. If you do not know what components you have, where they are, when they were installed, what condition they are in, and whether that information has been properly maintained over time, then the fancy reporting layer is not your salvation. It is just a better quality mirror for your confusion.

And to be fair, this is not always laziness or incompetence. A lot of landlords are carrying legacy data structures and systems that were never designed for today’s expectations. They have been through mergers, outsourcing deals, stock transfers, system migrations, rushed mobilisation exercises and years of under-investment in proper data stewardship. Bits of the truth are scattered everywhere. The asset system says one thing, repairs says another, finance codes something differently, and the survey programme has never fully caught up. Then somebody asks for a fully costed decarbonisation pathway or a stock reinvestment plan by component and tenure, and wonders why the answers wobble.Because the data wobbles, so them we assume the system is wibble.

So before anybody gets too excited about AI, digital twins, predictive replacement models or miracle dashboards, there is a simpler question worth asking. Do we trust the component data? Not “is there some data”, not “can the system produce a report”, but do we genuinely trust it enough to make expensive, high-impact decisions from it? If the answer is no, or even “sort of”, then that is where the effort belongs.
 

There is no glamour in saying your first priority is data assurance, better survey discipline, tighter updates from planned works, cleaner integrations and proper governance around defaults, assumptions and exceptions. 

But that is the grown-up answer. In housing, as in every other serious field, speed built on stale data is dangerous. The consequences may differ, thankfully, but the principle does not.
 

We should remember that every time someone waves a shiny new tool in front of us. Clever software cannot rescue weak asset knowledge. It can only amplify it. And if we are honest, that is probably the real lesson here. Our problem is not that housing lacks sophisticated systems. It is that we still too often ask sophisticated systems to compensate for basic uncertainty. That never ends well 

Is your organisation struggling to justify a software change, or worried not everything has been covered? 

Get in touch , I will drop in for a cuppa & bring the Fox's Chocolate Gingers ☕

       Related Post: As a client told me recently, the right Critical Friend, will potentially save you more money than you spend.

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I would be pleased to connect with you on LinkedIn - http://uk.linkedin.com/in/tonysmiththathousingitguy Message me with any issues or queries, you would like to be explored in this blog. We generally receive a couple of suggestions each month.

Mansun - Dark Mavis

(c) Tony Smith, Acutance Consulting www.acutanceconsulting.co.uk 07854-655009


Access a quick list of our Social Housing ICT blog posts here , what projects do we get involved in? Access them here

Could we help you or your organisation? Our contact details are here , get in touch we will be pleased to chat about your problems and help with your organisation issues.

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Adopt OR Adapt

If you do the X / Bluesky thing, follow me at @HousingITguy or LinkedIn here https://uk.linkedin.com/in/tonysmiththathousingitguy

A common discussion that has cropped up in my recent projects has been that old chestnut, ‘should organisations look to adopt COTS (Commercial Off The Shelf) solutions or look to adapt them to existing processes’ ?

Its certainly an interesting question to ask.

Some things to consider include working out ‘how unique are we around here’ and how close a COTS solution may even fit our situation. In my experience for core socialhousing solutions, uniqueness is relatively rare, with probably 85-90% of what we all do being pretty similar, not withstanding devolved country differences. The special-ness might be the types of residents we have, build types or geography (IE Radon emitting rocks, floodplains or lots of listed buildings in our stock to manage).

Also, confirm if the selected COTS solution is mature and capable of being adopted. If its still being written, not many current customers can be seen as already having successfully implemented it, then maybe its not suitable to adopt. That’s where many organisations have failed. Ask the right questions and assess the risks sufficiently. Maybe find the right COTS solution, or engage help from someone who can assist you there.

Recognise that a packaged solution is generally that, with its own APIs, import routines, UI IP that contractually you will be expected to use and will be supported by your supplier. While different suppliers may have user groups and forums for submitting suggestions and future functionality, unless this benefits multiple users of the product, its unlikely that they will be added. While this might sound somewhat punitive, it’s for everyone’s good. I have more than a handful of experiences where suppliers have allowed customisation, which before long results in an un-upgradeable product. So, don’t complain, it’s saving you from your self chum.

Of course, cases can be made for more homegrown and DIY solutions. Reasons for this can be many fold. Maybe organisations have deep pockets, have had bad experiences already with suppliers and pledge to never do COTS ever again (step forward L&Q), or have a large spare ICT resource. In the case of the latter, some organisations can get mixed up if they are a social housing provider, or a software house themselves. If you have this phenomena in your organisation, I suggest you look into this, also its governance. I have helped quite a number of organisations with some of these challenges recently. Often an external Critical Friend is a solid way to understand options forward.

Choosing to adopt with the right product, means less of reinventing the wheel every time.IE security, GDPR, integrations, a single source of the truth generally comes as standard. While we might have 1,000+ detail requirements, the core bread and butter best practices are sure to be well supported already, so we don’t need to sweat those. So we can quickly adopt those, while checking how other established organisations function with it. Concentrate on outputs, not the baggage of how we used to arrive at them!

Excessive adaption can dilute effectiveness and reinforce that old adage, “Well we have always done it this way”, so we need to twist the new solution to working like that. By avoiding often unnecessary customisations, organisations can reduce risk, save budget, speed up & make implementations more reliable and reduce coming years of expensive maintenance (a hit to the organisation by the way, not the supplier).

So what could some of the cons be here?

Well, pre-built solutions might not perfectly align with all organisational needs. Work to identify these early on in the procurement in order to spot future compromises and workarounds required. Possibly specialist solutions can be tightly integrated using modern API’s, or supported by minimal bespoke development internally. Choosing the wrong COTS solution might well also result in failure. I have been called on to look into projects scheduled for 18-21month implementation, already in year 4,5 or longer. These are rectifiable, yet often need bold actions if 'Stockholm Syndrome' has maybe crept in.

There is also plenty of scope for staff resistance to change. New processes or workflows might be difficult to embed, even if actual package or sector best practice is what’s being proposed. Good comms can be really useful here, as can networking openly with peers who are also using the COTS solutions successfully.

While the current traditional packaged solutions marketplace appears to be more controlled (& shrunk) by VC, ever shrinking, even more so this Spring 2025 with just less than a handful of large suppliers buying everything up, there are still independents (such as Omniledger and Rubixx), plus a range of Microsoft D365 Dynamics solutions, Salesforce and other solutions. Many of the latter can supply various degrees of productised and supported IP, which provides a hybrid COTS option. For these the buyer needs to understand what will be productised, how far that will take us and what the gap will cost, plus who will develop it. One for a whole blog post on its own I think that one.

In any case as the Romans used to say “caveat emptor”, perhaps get advice if you need it before purchasing, to ensure you are “Buyer beware”.     

Any comments, observations or queries, please share.  

_/_/_/_/_/_/_/_/ *** Join the discussion with Claire & Aiden *** _/_/_/_/_/_/_/_/

Off the shelf or build your own - how to scope your options ?

Get in touch , I will drop in for a brew & bring your fave chocky biscuits ☕

       Related Post: How best to understand the products you know & the vast options you maybe don't know about?

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I would be pleased to connect with you on LinkedIn - http://uk.linkedin.com/in/tonysmiththathousingitguy Message me with any issues or queries, you would like to be explored in this blog. We generally receive a couple of suggestions each month.

Wire – Adapt.
(c) Tony Smith, Acutance Consulting www.acutanceconsulting.co.uk 07854-655009


Access a quick list of our Social Housing ICT blog posts here

Could we help you or your organisation? Our contact details are here , get in touch we will be pleased to chat about your problems and help with your organisation issues.

File Under: #HomesForBritain,#HousingDAY,#InternetOfTenants,#Shout,#UKHousing, 07854655009, 1st Touch,1stTouch,360,365Agile,3squared,4Js, ACL,ALMO,AMS,AX,Aareon,Abritas,Academy,Accuserv,Accuserve,Active Housing,ActiveH,ActiveHousing,Acutence,Advanced,Affinity,Agile,Agile365,AirWatch,Alfresco,Alignment,Allpay,Amazon Web Services,Anite,Apex,App,ArchHouse,Archouse,Asprey e-state pro,Asset Management,Associates,Aurora,Average IT Costs,AWI SX Integration Toolkit,AWS, BI,BO,BPR,BancTec,BigChange,Blockwise,BluTek,Bluebox,Blueprint,Browser Applications,Business Objects,Business Planning,Business Process Review,Business social networking, CACI,Capita One Housing,CBL,CCS IT Keystone CCSIT,CEDRM,CHICS,CHR,CIH,CMS,COA,CORE,CPL,CRM,CRM2013,CRS,CTI,CTX,Cadcorp,Capita,CapitaOne,Capita One,Capital Management,Cashflow,Castle,Castleton,Castleton Technology,Cedar Open Accounts,Cerrus,Change,Charges,Chartered Institute Of Housing,Cheaper Housing IT,Chics, Citrix,Civica,Civica CTX,Civica Cx,Civica 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Systems,Hitex,HomeMaster,Hometeam,HouSys,House,Housemark,Housemark survey,Housing,Housing Contact,Housing Group,Housing Insight,Housing Management,Housing Management Consultant,Housing Partners,Housing Portfolio Management System,Hub Asset Management,Homeswapper,Housing jigsaw,HousingOne,Housing-One, Housing Support Pro,HousingIT,HousingSupportPro,HyperOptic, IMS,IT,IT Budget,IT Training,ITIL,Impact Response,In,In4,In4Systems Promaster,InfoBoss,InHouse,InMotion,InMotion2015,InMotion2016,InfoBoss,Infoflow,Information,Information Technology,Information@Work components,Informix,Innovation, Informetis,Inphase,Inside Housing,Insight,Internet Portal,Internetalia,Invu,Ireland,Irish,itLab, Keyfax,Keylogic,Keypera,Keystone,Kirona,Kypera,Keynamics, Landlord,Ledgers,Linkedin,Liquid,Locality,Localz, M3,MAVIS,MD,MDM,MI,MIS,MIS-AMS,MISCS,MRI,MS Dynamics,MRI,MS Dynamics CRM2011,Microsoft365,microsoft 365,MWL,Management,Management Server,Manifest,Measuring,Mebus,More IQ,MoreIQ,Microsoft Dynamics 365,Microsoft dynamics GP 2013,Miracle,MobileIron,Mobysoft,Monopoly board images and pictures,Montal,Mr Void,MriEngage,MrVoid,MoreIQ, MRI Housing One, NDL,NINTEX,NINTEX workflow,NPS,NPS ASSIST,NPS Housing,NPS Job Manager Mobile,NROSH,Natural,Neighbourhoods and Communities,Nintexworkflow,Northgate,Northgate Codeman,Northgate Public Services,Notice, OA,OGC Buying Solutions,OJEU Limits,ORS,Ohms,OmFax,Omniledger,One,OneAdvanced,OneServe,Open source,OpenContractor,OpenHousing,Opti-time,Options,Optitime,Oracle,Orchard,Outsource and outsourcing,OutSystems, PIMMS,PIMSS Data,PM,PRINCE2,Paloma,Pamwin,PanConnect,People Value,Peoplevalue,PfH,Pick,PlanForm,Planned maintenance,Plenfific,Plus,Portfolio Management System,PowerObjects,Pro,Pro-Points,Prodo,Progress,Promaster,Propoints,Proval,Providers,Pyramid, QL,QLX, QLF, QL Yuneo,QuantSpark,Qube,QLX,Qlikview,QueryView,Queryview reporting,Quiss, RM865,ROCC,RPs,RSL,Rave,ReAct,Reality,RedkiteCRM,Red Olive,Registered,Registered Social,Rent Increase,RentSense,RentSenseLite,Repairfinder,Reporting,Reports,RobotAutomation,Rocket,Rubixx, Salesforce,Salesforce.Org,SAP,SASSHA,SDM,SHBVN,SM,SOTI,SP,SQL,SQL Open Housing,SQL Reporting,SQL Server,Saffron,Safron,Saturn,Scenario,Scotland,Scots,Scottish,Scout,Sequoa,Serengeti,Serros,Server,Service,Services,Servitor,Sharepoint,Sim,SimPro, Simdel,Simdell,Slash and Burn,Social Housing ICT,Social Housing Software Applications,Social Media,Software,Software solutions,Spotlight Service,Spotlightservice,Star rating,Stores and Stock,Strategic,SunAccounts,Sunguard,Surveys,Streetwise, Swordfish,Sx3,Symatrix Human,System alignment,Systems,Systemwise, T-Files,TEAMS,TED,TFiles,TP Tracker,TSG,Tagish Casework,Tagra,Task,TAIM,Technologies (India) PVT Limited,Telecetera,Template,Terminal Services,That,Three Star,Tilt,TiltAffinity,Today,Tony Smith,Tony Smith That Housing IT Guy,TonySmith that housing IT,TonySmithHou,TonySmithHousing, ,TonySmithHousingITguy,Total,Total Mobile,Totalmobile,Trace,Tribal,Twitter, U2,UC,UK,UK Housing,Ukhousing,UniClass Enterprise,Unidata,United Kingdom,Universal,Universalcredit,Universe,Unrest, Valueworks,Van Stock,Vantage,Vantage Sentinel,Version,Virtualisation,Visitour,Visualmetrics,Voice,Voice and data,Voluntas, Wales,Welsh,Wheatley,Windows Server,Workflow and,Work Hub,Works Connect, XML,Xen App,XenApp,Xmbrace, Yuneo,TS Acutance Consulting, ...
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