The 10 Best Senior Living Analytics Software Tools for Operators (2027)
Ten tools senior living operators use to see occupancy, census, labor, care and margin across communities, grouped by what they do: market benchmarks, analytics across your systems, operating suites, sales and labor systems, and finance and BI.
The best senior living analytics software for an operator is the one that sees every community the way the leadership team does: census and care in the resident system, hours in scheduling and payroll, leads in the CRM and margin in the books. In 2027 most operators get there with a mix: the reporting built into the systems they already run, a market benchmark, and an analytics layer that reads across all of them so the owner report, the regional review and each executive director's numbers agree. This guide compares ten tools, grouped by what they do.
Querri publishes this guide, and Querri is one of the tools listed. We placed it in the category it belongs to, not at #1, and listed its limits the same way as everyone else's. No vendor paid to be included.
How we chose these tools
We looked at the tools that come up most in searches for senior living software, senior living analytics and senior living business intelligence, and at what operators of 10 to several hundred communities describe using for portfolio reporting. For each one we read the vendor's public product and pricing pages, its 2025 and 2026 announcements, and published reviews from KLAS, G2 and Capterra where they exist. We did not run a hands-on trial of every product, and we don't publish prices a vendor hasn't published. We judged each tool on seven things:
- Data covered: which of census and occupancy, care levels, labor, sales and finance it holds or reads natively.
- Cross-community view: whether every community, region and the whole portfolio can be read side by side, including communities on different systems.
- Shared definitions: whether occupancy, revenue per occupied unit and hours per resident day are defined once and reused everywhere.
- Traceability: whether an executive or regional VP can see where a number came from.
- Alerts: what triggers a flag, and on which data.
- Who builds reports: an executive director or regional VP on their own, or an analyst, admin or consultant.
- Pricing transparency: a public price, or quote only.
The list is grouped by category, not ranked by score. Tools built to answer portfolio questions come first (market benchmarks, then analytics across your systems), followed by the systems that run the work and report on it (operating suites, sales and labor systems, then finance and general BI). A tool's number is its place in that order, not a grade.
Senior living analytics software at a glance
| Tool | Category | Best for | Data it covers | Who builds reports | Pricing |
|---|---|---|---|---|---|
| NIC MAP | Market benchmarks | Occupancy and rate against your local market | Market occupancy, rates, inventory, construction | Analyst or development team | Quote |
| Skypoint | Cross-system senior living analytics | Prebuilt senior living dashboards on Power BI | EHR, CRM, finance and labor, per the vendor | Vendor-built, then analyst | Quote |
| Querri | Analytics layer | Questions that cross census, care, labor, sales and the books | The systems operators run, plus files | Anyone who can ask a question | Free to start, then usage-based |
| Yardi Senior Living Suite (Senior IQ) | Operating suite | Operators running Voyager and other Yardi modules | Yardi occupancy, CRM, financial and clinical data | Admin or analyst | Quote |
| PointClickCare Senior Living | Operating suite | Operators with skilled nursing and assisted living together | Census, occupancy, care records | Admin | Quote |
| Eldermark (ElderSmarts) | Operating suite with analytics service | Assisted living operators who want analytics run for them | Eldermark EHR, billing and CRM data, plus other systems | Eldermark's analytics service | Quote |
| Aline | Sales and operations platform | Sales funnel and operational reporting on one vendor | CRM, billing, care and accounting in Aline | Admin or analyst | Quote |
| OnShift | Labor | Scheduling, overtime and agency use | Schedules, punches, hours | Scheduler or HR | Quote |
| Sage Intacct | Finance | Community-level P&L and budget variance | The ledger, plus statistics fed in | Finance | Quote |
| Microsoft Power BI | General BI | Operators with a data team or consultancy | Anything piped into it and modeled | Analyst | Public, per user |
What a senior living operator needs to see
The questions that come up every week are the same in most portfolios. Is occupancy turning into margin? Which community moved this week, and was it census, agency hours or move-ins? Are hours per resident day in line with census and acuity? Did every community bill for the care it delivered? Does the owner package match what operations reports? No one system can answer all of that. Census and care levels are in the resident system or EHR, hours in scheduling and payroll, leads and tours in the CRM, and revenue and budget in the ledger. Operating suites report well inside their own data, and a market benchmark shows how the market around each community is doing. The analytics tools on this list earn their place on the questions that need several systems at once, with one definition of each number across every community.
The 10 best senior living analytics software tools
Market benchmarks
1. NIC MAP
Best for: operators who want each community's occupancy and rate read against its local market, for pricing, budgeting and development decisions.
What it measures: market and segment occupancy (independent living, assisted living, memory care, nursing care and active adult), rates, inventory, construction and absorption. NIC MAP, renamed from NIC MAP Vision in January 2025 (Business Wire), expanded its rate and occupancy data to 214 markets in May 2026, about 85% of U.S. supply (IREI). It deepened its active adult coverage in March 2026 (Business Wire).
How it decides: it reports the market. The decision comes from comparing your community with it.
Pricing model: subscription, quote only. Some one-off reports are sold in its store.
Where it breaks: it describes the market, not your own census, labor or care. Comparing a community with its market means joining NIC MAP figures to your internal occupancy somewhere else.
Bottom line: the standard market benchmark; pair it with a view of your own communities.
Analytics across your systems
2. Skypoint
Best for: operators who want prebuilt senior living dashboards on Microsoft's stack without building a warehouse themselves.
What it measures: Skypoint says it covers 350+ senior living KPIs, including occupancy, NOI, labor as a percentage of revenue, move-in velocity and length of stay, with "bidirectional integration with 250+ systems" (Skypoint). Its dashboards run on Power BI inside Microsoft Fabric (Skypoint). In January 2026 it announced a 16-app portfolio for senior living, including the skyCommand, skyInsights, skyAgent and skyChat analytics apps, and quotes go-live within 90 days (Skypoint).
How it decides: a prebuilt KPI model and dashboards, plus AI agents for questions and report drafting.
Pricing model: quote only.
Where it breaks: the KPI and integration counts are vendor claims, and its public pages don't list which EHR, CRM or payroll systems it connects to by name. Ask for your exact systems in the demo. We found no independent user reviews on G2 or Capterra.
Bottom line: a full senior living data platform; plan for a project-style rollout.
3. Querri
Best for: CEOs, COOs, regional VPs and finance leaders who need answers that cross census, care, labor, sales and the books in every community, without a BI hire or a data team first.
What it measures: whatever you ask, in plain language, across the systems your communities already run: Yardi, PointClickCare, MatrixCare, Sage Intacct, NetSuite, QuickBooks, Salesforce, Workday, ADP, UKG, OnShift, SQL Server and Excel, among them. An agent sets up each connection with you, so you're asking questions in minutes (how connections work). Survey results, budgets and anything that only exports files come in too, including market data from NIC MAP. You define occupancy, revenue per occupied unit and hours per resident day once, and every answer, community dashboard, owner report and AI assistant uses that definition. Click any number to see the query and the tables behind it.
How it decides: Monitors check each community's census, agency hours, move-ins and move-outs against its own history and say which one moved, and every night Querri leaves what it found in your Inbox (nightly insights). Row-level access means an executive director sees their community and a regional VP sees their region. Querri is SOC 2 Type II and ISO 27001:2022 certified and HIPAA compliant, signs a BAA, and its connectors are read-only.
Pricing model: free to start with no credit card, then usage-based (Querri pricing).
Where it breaks: Querri doesn't do care documentation, eMAR, billing, scheduling or CRM outreach, and it never writes back to those systems. Keep your operating systems for the work. It reads a synced copy of your data on a schedule you set, not live transactions, and it doesn't supply market benchmarks of its own.
Bottom line: the layer that puts census, care, labor and the books for every community in one place, on one set of definitions.
Operating suites with built-in reporting
4. Yardi Senior Living Suite (Senior IQ)
Best for: operators already running Yardi Voyager Senior Housing and the rest of the Yardi suite.
What it measures: Senior IQ is the BI layer inside the suite. It reports on occupancy, leasing and the CRM funnel, financials and clinical data from Voyager, RentCafe Senior CRM and Yardi EHR, with internal benchmarks and optional NIC comparison data (Yardi). Yardi's Virtuoso AI is rolling out to senior living with clinical summaries, progress-note help, change-of-care recommendations and sales help in the CRM (Yardi).
How it decides: preconfigured KPIs and dashboards on Yardi data.
Pricing model: quote only.
Where it breaks: it's strongest when every community runs every Yardi module. A community on another EHR, a separate scheduling system or an acquired portfolio on different accounting has to be brought in before it shows up beside the rest.
Bottom line: the deepest reporting for an all-Yardi portfolio.
5. PointClickCare Senior Living
Best for: operators with skilled nursing and assisted living in the same portfolio, or who value PointClickCare's care network.
What it measures: PointClickCare's rebuilt senior living platform, announced in November 2025, tracks apartment occupancy and census with insight into length of stay, and adds reporting dashboards for enterprise and community leaders. PointClickCare said it would be commercially available in 2026 (PointClickCare). Chart Advisor for Senior Living, announced in May 2026, flags high-risk situations such as falls and certain medications, and documentation gaps (PointClickCare).
How it decides: dashboards and AI flags on the care and census data in PointClickCare.
Pricing model: quote only. Its FHIR API is priced per app, per facility, per month on its developer site.
Where it breaks: reporting covers what PointClickCare holds. "Reporting is a big concern of ours with PointClickCare," a manager told KLAS in April 2026 (KLAS). Operators who need census beside labor and the ledger often export through Data Relay into a database and BI tool, as Ingleside did (LeadingAge CAST).
Bottom line: strong care data and a growing set of dashboards; plan the joins to labor and finance separately.
6. Eldermark (ElderSmarts)
Best for: assisted living and memory care operators who want analytics delivered as a service by their EHR vendor.
What it measures: ElderSmarts covers financial performance, resident acuity, occupancy trends, staffing needs and billing accuracy, with built-in benchmarking data, and its billing views look for residents who get more services than their agreement bills for (Eldermark). Eldermark says it works with other data sources, from lead generation and CRM to financial software. Its AI flags residents at risk of a fall in the next 30 days (Eldermark).
How it decides: dashboards, benchmarks and AI flags, set up and run with Eldermark's team.
Pricing model: quote only.
Where it breaks: it's built around Eldermark's own EHR and billing. We found no dated independent reviews of ElderSmarts, so ask for references running a mixed stack. MatrixCare (which ResMed agreed in July 2026 to sell to Frazier Healthcare Partners, per Business Wire) and ALIS are close alternatives in this category, each with its own analytics module.
Bottom line: analytics with a service team behind it, best for portfolios standardized on Eldermark.
Sales and labor systems with reporting
7. Aline
Best for: operators who want the sales funnel and operational reporting from one senior living vendor.
What it measures: Aline was formed from Enquire, Glennis Solutions and Sherpa CRM (Aline), and covers CRM, marketing, billing, care and accounting. Operational Insights, the former Glennis product, has more than 100 built-in Power BI reports with drill-down by portfolio, region, community, service type and room type, including an assessed-versus-billed care view (Aline). Aline Connect, an AI outbound agent in its CRM, became generally available in May 2026.
How it decides: prebuilt reports on the data in Aline's products.
Pricing model: quote only.
Where it breaks: reporting is richest when sales, billing and care all run on Aline. Labor from a separate scheduling system, or the ledger from a separate accounting system, has to be brought in. WelcomeHome is the main alternative if you want a stand-alone senior living CRM with roll-up reporting.
Bottom line: the broadest senior living sales platform, with operational BI attached.
8. OnShift
Best for: operators managing scheduling, overtime and agency use across communities.
What it measures: OnShift, a ShiftKey brand, covers scheduling, hiring, payroll and HR, with overtime monitoring and Payroll-Based Journal reporting (OnShift). Its July 2025 OnShift X app and Schedule X update suggest best-fit employees for open shifts, based on availability, hours worked and how likely each one is to accept (OnShift).
How it decides: labor dashboards and alerts on schedules and punches.
Pricing model: quote only.
Where it breaks: it sees hours, not census, acuity or revenue. Hours per resident day against census, or agency spend against margin, needs census and finance data joined to it.
Bottom line: the labor view many operators already have; join it to census to make it a margin view.
Finance and general BI
9. Sage Intacct
Best for: finance teams that want a P&L by community, care type and region, and an alert when spending runs over budget.
What it measures: the ledger, tagged by dimensions such as community and line of business, so assisted living, independent living and memory care can be compared. Sage points to Lutheran SeniorLife building dashboards that pull statistics from its care system (Sage). Its 2026 R1 release made Close Automation generally available and added Variance Analysis, which alerts budget owners when spending runs over budget (Sage Intacct release notes).
How it decides: dimensional financial reports and AI variance alerts.
Pricing model: quote only, through Sage and its partners.
Where it breaks: occupancy, census and labor hours have to be fed in from the resident and workforce systems as statistics before they sit beside the dollars.
Bottom line: the books by community, done well; the operating numbers arrive from elsewhere.
10. Microsoft Power BI
Best for: operators with a data team or a consultancy who want a fully custom portfolio model.
What it measures: anything that has been piped into a database and modeled. Several senior living products on this list, including Skypoint and Aline Operational Insights, are built on it, and consultancies build Power BI warehouses from Yardi, PointClickCare, Sage and scheduling data. Copilot in Power BI writes reports and answers questions on the model.
How it decides: whatever the model's builder defines.
Pricing model: public, per user, with capacity options for larger rollouts (Microsoft). Tableau and Domo are common alternatives.
Where it breaks: the license is the small part. Someone has to connect each system, model occupancy, census and labor the same way for every community, and keep it all running as systems and communities change. That usually means a hire or an ongoing consultancy.
Bottom line: the most flexible option, if you have the people to build and keep the model.
What about general AI assistants?
Many executives already use ChatGPT, Claude or Copilot. These assistants now have memory, dashboards, scheduled tasks and connectors, and they're very good at one-off analysis of the data a person gives them. What they don't keep on their own is one company-wide definition of occupancy or hours per resident day, so an executive director and a regional VP can bring different numbers to the same call. Querri works inside the assistant your team already uses, with your company's definitions (Querri MCP).
How to choose: match the tool to your portfolio
- If every community runs the Yardi suite, start with Senior IQ. Add an analytics layer when labor, surveys or an acquired portfolio on other systems need to sit beside it.
- Care data in PointClickCare, Eldermark or ALIS? Use their dashboards for care and census, and join them to scheduling and the ledger before you judge a community's margin.
- "Why did this community's margin drop?" needs census, labor and the ledger in one answer. That's a job for an analytics layer or a modeled BI build.
- For pricing, budgeting or development, subscribe to NIC MAP and compare each community with its market.
- A data team and a warehouse make Power BI a good base. Give executive directors and regional VPs a way to ask their own questions without joining the queue.
- No BI hire, and no plan to make one: an analytics layer that connects to your systems directly is the quickest route to one picture of every community.
Before you buy: questions to ask in the demo
- How are occupancy, census and hours per resident day defined, and who can change the definition?
- Which of our systems does it read directly, how often does the data refresh, and who sets that up?
- Can a community on a different EHR, CRM or accounting system appear in the same report as the rest?
- Can an executive director see exactly where a number came from?
- What triggers an alert, and does it compare a community against its own history?
- How does access work, so each executive director sees their community and each regional VP their region?
- What does an export of our data look like if we leave?
Frequently asked questions
What is senior living analytics software?
Senior living analytics software shows how each community is doing on occupancy and census, move-ins and move-outs, care levels, labor hours and agency use, and revenue and margin. Some tools report inside one system, such as the resident system or the ledger. Others benchmark you against the market, and a third kind joins every system so each community's numbers can be read side by side.
Which KPIs should a senior living operator track across communities?
Most operators start with occupancy against budget, move-ins and move-outs, revenue per occupied unit, hours per resident day, agency and overtime hours, and margin or NOI against budget. The useful step is reading them together by community, because a census dip and an agency spike in the same building need a different call than either one alone.
Do I need a separate analytics tool if I already run Yardi or PointClickCare?
Not for questions that stay inside that system. Yardi Senior IQ and the PointClickCare dashboards report well on the data they hold. You need something more when the question crosses systems, for example occupancy from the resident system, hours from scheduling and payroll, and margin from the ledger, or when communities run on different systems after an acquisition.
Is Power BI a good choice for senior living reporting?
Power BI is a strong, affordable BI tool, and several senior living analytics products are built on it. The cost is the build. Someone has to pipe each system into a database, model occupancy, census and labor the same way for every community, and keep that model running. Operators either hire for it or pay a consultancy.
How do senior living operators benchmark occupancy against the market?
NIC MAP is the standard source for market occupancy and rates by market and care segment. Operators compare each community's own occupancy and rate against its local market, which means joining NIC MAP's figures to internal census data, usually in a BI tool or an analytics layer.
Can AI flag fall risk, move-outs or census changes in senior living?
Several vendors now ship AI that flags fall risk, likely move-outs, care level changes or documentation gaps, and some publish accuracy claims. Treat any flag as a prompt to look, check which data it reads, and ask the vendor how the accuracy figure was measured and on whose residents.
What should I ask in a senior living analytics software demo?
Ask how occupancy and census are defined and who can change the definition, which of your systems it reads directly and how often, whether a community on a different EHR or accounting system can sit in the same report, whether you can see where a number came from, and how row-level access works for executive directors and regional VPs.
Next step
If the question on your desk this month is which community moved and whether it was census, labor or both, see how operators put census, care, labor and the books in one place: Querri for senior living.
This comparison reflects publicly available information as of November 2026. Product features and pricing change often; check each vendor's site before you buy. Querri publishes this guide and is one of the tools listed.
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