HR Digital Transformation
Here is what the current state usually looks like, described honestly.
The employee master data is a spreadsheet. There are four versions of it, on three laptops and in one shared drive folder, and they disagree about at least six people. CVs arrive in a shared inbox that two people can read and nobody has ever archived. Leave is requested by email and tracked in a second spreadsheet that is reconciled with payroll manually, badly, once a quarter. Onboarding documents are scanned and filed by whoever was free that week. Nobody can say who has accessed a personnel file, when, or why, because there is no mechanism that would record it.
None of this is unusual and none of it is a sign of an unserious organisation. It is what happens when a company grows faster than its administration. It becomes a problem at a specific moment: when you need to answer a question quickly and cannot, or when someone asks you to demonstrate how you handle personal data.
We fix the process before we buy the system
The most expensive mistake in this area is buying software to solve a process problem. A poorly defined leave process does not become well defined because it is now in a system. It becomes a poorly defined process that is harder to change, with a licence fee attached and a group of people who have quietly gone back to using the spreadsheet.
So we map first. Every core HR process in scope, as it actually runs rather than as the policy describes it, with the handoffs, the approval points, the places where work stops and waits, and the places where the same data is entered twice. That exercise routinely eliminates steps before any technology is involved, and it is what makes the eventual configuration decisions obvious rather than arbitrary.
Only then do we look at systems. Selection is run against your requirements rather than against a vendor's feature list, and we are explicit about the Nigerian considerations that generic comparisons miss: whether the payroll module handles local statutory deductions correctly, whether pricing is quoted and billed in NGN or exposes you to currency movement, whether support operates in a timezone that is any use to you, and what actually happens to your data if you leave.
Implementation covers data cleansing and migration, which is almost always harder than the vendor's timeline assumes, configuration, integration with payroll and finance, parallel running, and cutover.
Then adoption, which is the phase most projects skip. A system nobody uses is a more expensive version of the spreadsheet. We build the training, the internal champion structure and the usage measurement, and we check the numbers at ninety days rather than declaring success at go live.
Handling the data properly
Employee and candidate records are personal data, a good deal of it is sensitive, and the obligations run from lawful basis through transparency, minimisation, access control, retention and eventual deletion. This shapes how a system is configured whether or not anyone raises it, so we build it in at design stage rather than auditing for it afterwards.
In practice that means establishing a lawful basis for each processing activity, and being careful about where consent is the wrong one, which inside an employment relationship is more often than most people assume. It means minimisation at the point of collection, so that forms stop asking for information you have no use for. It means role based access enforced in the system rather than described in a policy, retention schedules with actual deletion behind them, and a defensible position on any transfer of data outside Nigeria.
It also means papering the vendor relationship. A provider processing data on your behalf does not absorb your responsibility for it, and where that relationship has never been documented, you are carrying the whole of it without having decided to.
MoonTrack HR
We should be direct about a relationship rather than let you find it out later. MoonTrack HR is an applicant tracking system built by this firm's founder for the Nigerian hiring market. It handles job posting, structured screening, candidate pipelines, interview scheduling and offer management, it prices in NGN, and it was designed against the NDPA rather than adapted to it afterwards.
Where recruitment is the process causing you the most pain, we will recommend it, and we will say plainly that we built it. Where a different tool fits your situation better, we will say that instead.
How engagements run
Process mapping and requirements definition runs four to six weeks for a mid-sized organisation. Selection adds three to four. Implementation depends entirely on scope and on the state of your existing data, and we will not quote a timeline for it before we have seen the data. Fees are quoted in NGN against an agreed scope.
Where this connects
Digitising a process encodes it, which is why the process needs to be right first. Where policy is unclear or out of date, HR policy development comes before this work rather than after it. Where the underlying question is statutory exposure rather than efficiency, start with HR advisory and compliance. And if the recruitment process is the specific bottleneck, our recruitment service covers how we run it as a service.
Email consulting@sahrpartners.com or use the enquiry form to discuss your current stack.