CRE data: outsourced

Apple, one of the most profitable businesses in the world, is the king of outsourcing. Its brains reside in California, while its grunt work is spread to specialists all over the world. Is CRE missing a trick? Like the strategic minds at Apple, can it farm back office services to cheaper, specialist hands – and drive greater profitability?
Automate CRE data work

Get your CRE data outsourced

Find a new competitive edge – outsource your CRE data grunt work. Get new data. Clean, maintain and enrich your current data. Reduce the risk of error, turn around faster, and reduce your data worker costs by half.

We’ve teamed up with the Royal Institute of Chartered Surveyors (RICS) to support their members with a 20% discount on standard services.

What’s changed?

Unemployment, globally, is seeing 30 year record lows.

For the UK rates, from the Office for National Statistics (link):

And here are US unemployment rates according to Statista (link):

These increasing back-office labour costs are eating into business profits. Further, nevermind cost, good talent is becoming both scarce, and hard to find – at any price.

In parallel, data volumes in CRE are growing. Front office personnel are seeing more of this data grunt work. Your deal makers don’t have the experience, training or passion to manage this data accurately and in a way that will push your business forward. Your back office team want to do more valuable work.

Simultaneously, clients of the CRE industry expect the same near-instant, data analytics-driven service level they are seeing in industries like travel, online shopping, banking and insurance. Clients are looking for the speed and data difference, and equate it with professionalism and expertise.

Why now?

Apple is a great story of effective outsourcing in action. One of the most profitable businesses in the world, it has its brains in California. But the hands that do the grunt work are spread to specialists all over the world.

CRE does not manufacture products, so outsourcing building widgets is not possible. But, similarly, CRE can rethink a new, more efficient model of delegating its version of “manufacturing” – data work – to cheaper specialists, simultaneously providing job opportunities to countries in need.

Previously remote work had its doubters, and rightly so. Covid has changed this. Where work outcomes are clearly defined, and where processes are not client-facing, back office work can be done by workers either from the comfort of their homes, or in another country. Further, technology advancements like video-conferencing, and maturing ways of sharing data have enabled communications and reduced risk alike.

Amongst this, the CRE industry is digitising and automating – with APIs and a more integration-friendly architecture. Technology, eventually, is coming to CRE. CRE data outsourced feels inevitable.

What’s the solution?

How to outsource CRE data work

At Gmaven, see ourselves as your data and tech partners. Firstly, we quickly understand your process. Then we define your flows (in words and pictures if required), reducing your business continuity risk. Then, we identify a ranking of data efficiency interventions, starting with the lowest cost, highest impact project.

We work with you, for you

Projects can be big, or small, simple or complex. Costing is calculated at a work-complexity hourly rate, starting at £4 / hour, or half of your current cost.

With Gmaven, you can access the following solutions on a once-off or monthly basis:

  • Data extraction from PDF into Excel
  • Data enrichment
  • Data cleaning
  • Lease abstraction
  • Completion of unsolved data projects
  • Acquisition of property, tenant and contacts data

You want some of your CRE data outsourced. How to start?

Small.

Identify low-hanging fruit (this could be small projects or non-mission critical problems). Identify realistic KPIs. Solve for these.

Rinse-wash-repeat with problems of greater size and/or materiality.

Why us?

Our specialists here have spent a decade building globally-relevant data algorithms and code assets for CRE using Silicon Valley tools and large scale data processing. Our testing ground – one of the industry’s dirtiest CRE data markets – South Africa.

We’ve served our 10,000 hours (plus) on this journey, and made all the mistakes already.

How to evaluate service provider competence?

Obvious items are a track record of execution and experience  the costs presented, the service provider culture, and their domain knowledge (i.e. can this organisation “talk CRE”?).

The less obvious success factors / project risk mitigators are the following:

  • Process flow thinking (so solutions can scale)
  • Code assets to automate processes at low risk
  • Access to reference data (to drive data quality)
  • Ability to create algorithms (inventions and creative thinking is required)
  • Technology choices (to enable solutions to scale out at the right price point, at low maintenance)

What are industry experts saying?

See this interview with RICS’s Andrew Knight, as we unpack the opportunities behind and specifics to get CRE data outsourced (here is a link if the video does not play)

Reach out to us if you’d like to learn more.

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