Databricks consulting partner
HR data that
agents can trust.
Give HR leaders answers they can use. We help define the workforce data, business context, and access rules for analytics and AI built on Databricks.
Consulting partner in the Databricks Brickbuilder Partner Network
- Core HR
- Recruiting
- Payroll
- Learning
HR data
Defined and governed
- Genie
- Dashboards
- AI agents
Access with a purpose
Rules grounded in HR roles and responsibilities.
Definitions with an owner
Workforce measures your team can explain.
The diagnostic behind the work
40 to 60
Structured interviews in a full diagnostic
1,700+
Pages of structured evidence in a single engagement
<30 days
To initial diagnostic findings
Agents need to understand the organization.
Who someone is, what they own, and which information they may use are workforce questions. Useful AI needs that context to be explicit.
Access starts with HR rules
Reporting lines are only part of the picture. HR coverage, sensitive fields, exceptions, and effective dates shape who should see what.
Context gives data meaning
A headcount table cannot explain a decision right or a process handoff. Capture how work happens alongside the data that records it.
Leaders need trusted answers
Agree on workforce definitions and the questions that matter. Then evaluate the answers against evidence your HR team understands.
Four ways we help.
Start with the decision you need to make. We scope the HR knowledge, data, and implementation work around it, alongside your platform team.
Who can see what for AI agents
Turn HR roles, reporting relationships, and approved business rules into an access design for Unity Catalog. Work through sensitive fields and exceptions with HR, security, and the engineers responsible for enforcement.
A documented entitlement model and policy test cases.
- Unity Catalog
- Genie
- AI agents
Employee context for agents
Define who owns what, who approves a decision, and how work moves between teams. Structure that knowledge so your engineering team can make the right context available to an agent.
A context model with owners, sources, and refresh rules.
- Organizational context
- Governed data
Workday to Genie
Bring workforce data and agreed metric definitions together in your Databricks environment. Choose the appropriate connection route, model history, and evaluate a Genie space against real HR questions.
A scoped data model, metric definitions, and answer evaluations.
- Workday
- Unity Catalog
- Genie
People analytics in your lakehouse
Decide which workforce definitions, reports, and analytical work should live in Databricks. Compare the value and maintenance of a custom build with the tools you already use, then plan the right combination.
A target architecture and a sequenced delivery plan.
- Workforce metrics
- Data modeling
- AI/BI
From organizational knowledge to a working plan.
Ikona Analytics is a knowledge operations company. The Ikona Systems Diagnostic (ISD) captures how your HR organization works and structures it into a persistent Context Layer. That knowledge informs the definitions, access policies, and implementation requirements your Databricks team builds on.
Explore the Systems Diagnostic- 1
Capture
Interview the people who own the decisions, systems, and handoffs. Document the rules that the data alone cannot explain.
- 2
Structure
Connect that evidence to workforce definitions, ownership, and access requirements. Keep a traceable Context Layer your team can query and update.
- 3
Activate
Turn the requirements into a scoped build and evaluation plan. Agree who implements each part, with your engineers or an implementation partner.
- 4
Hand over
Your team retains the agreed deliverables, documentation, and operating responsibilities. Make ownership and maintenance explicit from the start.
HR practitioners who understand the build.
Our founders have led people analytics and HR technology work inside large enterprises. We connect the HR decisions to the technical requirements, and work alongside the people who will run what gets built.
Meet the team
Ian O'Keefe
Co-founder and CEO
former head of people analytics at Amazon and JPMorgan Chase
Bennet Voorhees
Co-founder and CTO
former ML product leader at Amazon, Expedia Group, and Merck
Richard Rosenow
Co-founder and CPO
former VP of People Analytics Strategy at One Model and creator of the Workforce Systems Leader and People Data Supply Chain frameworks
Before you book a call.
No. We can start with a decision about where workforce data and analytical work should live. If Databricks fits, we scope the next step around your systems, governance requirements, and team.
Yes. A platform you already use may remain the right place for reporting or specialist HR analysis. We assess what belongs in Databricks and what should stay in, or connect to, an existing tool.
Start with the business purpose, the people allowed to use the data, and the fields that require additional protection. Agree access and evaluation requirements with HR, security, and the platform team before implementation.
Ownership, deliverables, documentation, and operating responsibilities are agreed in the engagement scope. The organizational knowledge we capture is a persistent asset your team keeps using.
Yes. Ikona can lead the HR discovery, definitions, and governance requirements while your team or implementation partner builds. We agree the delivery roles before work starts.
The connection route depends on your Workday and Databricks environments, licensing, and the availability of the relevant integration. We confirm those prerequisites during scoping rather than assume a connector is available to every customer.
Running HR data on Databricks?
Tell us what your team needs to decide and where the work is getting stuck. We will scope the first useful step.
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