Secure the front door. Email is where most attacks arrive — Data Resolve Employee Productivity shows how work time is actually spent — apps, web, active time, hours — to manage a distributed workforce with data, and it secures your data in the same agent.
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Data Resolve Employee Productivity is the workforce-productivity capability of the inDefend platform — giving organisations visibility into how employees actually spend their working time, so they can improve productivity, spot problems, and manage a distributed workforce with data rather than guesswork. As remote and hybrid work became the norm, managers lost the natural visibility of the office and gained a real question: are people productive, where are the bottlenecks, and how is time actually spent? Employee productivity monitoring answers that by tracking application and software usage (which apps and tools people use, and for how long), web and internet activity (what sites are visited during work hours), active versus idle time and work hours, and overall activity patterns — then presenting it as clear reports and dashboards. The goal is constructive: identify where time is lost, balance workloads, recognise high performers, spot disengagement early, and make informed decisions about tools and processes — not surveillance for its own sake. Because it's part of inDefend, the same endpoint agent that monitors productivity also delivers data-loss prevention and insider-risk detection, so one deployment gives you both workforce insight and security. As an India-built solution (Data Resolve, founded 2008, 1,000,000+ endpoints), it offers this at India-friendly cost with local support and an understanding of Indian workplace and legal realities. TechBag scopes, PoCs and quotes it in INR/GST.
This page covers Employee Productivity — workforce monitoring. The rest of the portfolio:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Visibility into how work time is spent — apps, web, active time, hours — to improve productivity.
Part of the inDefend platform (with security).
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Employee Productivity (Data Resolve) |
|---|---|---|
| Remote-team visibility | Flying blind | Clear, data-driven |
| Productivity decisions | Gut feel | Measured data |
| How time is spent | Unknown | Apps, web, active time |
| Overload / disengagement | Noticed too late | Spotted early |
| High performers | The loudest get credit | Data recognises them |
| Security | A separate tool | Same agent (inDefend) |
| Cost | Premium global tools | India-friendly value |
| The vendor | Distant, generic | India-built, local, aware |
Remote work created a visibility gap — restore it with data, not guesswork. And the same agent secures your data. India-built, deployed constructively.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Captures application and software usage, web and internet activity, and active-versus-idle time at the endpoint — the raw signal of how work time is spent.
Tracks work hours, login/logout and active time — useful for distributed and remote teams where office-based visibility is gone.
Categorises activity as productive, non-productive or neutral and analyses patterns — turning raw activity into meaningful productivity insight.
Presents clear reports and dashboards — individual, team and organisation-level — so managers can see where time goes and make informed decisions.
Part of the inDefend platform — the same endpoint agent that monitors productivity also delivers DLP and insider-risk detection, one deployment, two outcomes.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Data Resolve Employee Productivity restores visibility into distributed teams with data — and secures your data too, part of the portfolio, and paired with the human firewall.
Track which applications and software people use, and for how long — the clearest signal of how work time is actually distributed across tools.
See what websites and web apps are used during work hours — distinguishing work-related browsing from time lost to distraction.
Measure active working time versus idle time — a truer picture of engagement than hours logged in, useful for distributed teams.
Track work hours, login/logout and time on task — visibility into attendance and working patterns for a remote and hybrid workforce.
Categorise activity as productive, non-productive or neutral against your definitions — so reports reflect real productivity, not just busyness.
Analyse trends and patterns over time — spotting productivity dips, workload imbalance, disengagement, or process bottlenecks early.
Compare productivity across individuals and teams — recognise high performers, balance workloads, and identify who needs support.
Alerts on unusual patterns — a sudden productivity drop or disengagement — so managers can check in and support early, not after a problem grows.
Purpose-built for remote and hybrid teams — the visibility the office once gave, so you can manage a distributed workforce with data.
Clear individual, team and organisation dashboards — the visibility for informed decisions on productivity, workload and process.
Export productivity data and reports for HR, management and workforce planning — turning monitoring into decisions and action.
Part of inDefend — the same agent delivers DLP and insider-risk detection, so one deployment gives you productivity insight AND data security.
The overview, getting started, and protecting M365 email.
Productivity and insider threat, together.
The inDefend approach, discussed.
Data Resolve's full offering.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Here’s what genuinely sets Data Resolve Employee Productivity apart.
When most people worked in an office, managers had natural, informal visibility into how work was going — who was busy, where things were stuck, how the team was doing. Remote and hybrid work removed that, and left a genuine question that isn't about distrust so much as management: are people productive, where are the bottlenecks, how is time actually being spent, and is the team engaged? Without any visibility, managers are flying blind, and problems — a disengaged employee, an overloaded team, a broken process eating everyone's time — can grow unnoticed. Employee productivity monitoring exists to restore that visibility with data, so distributed teams can be managed as effectively as co-located ones. Data Resolve's productivity capability tracks how work time is actually spent — apps, web, active time, work hours — and turns it into clear insight, giving managers back the understanding that remote work took away, without needing to look over anyone's shoulder.
Decisions about productivity, workload, tools and processes are often made on gut feel and impressions, which are unreliable and can be unfair. Employee productivity monitoring replaces guesswork with data: instead of assuming who's productive or where time goes, you can see it — which applications and tools are actually used and for how long, how much time is active versus idle, what the working patterns are, and how this varies across individuals and teams. This objective visibility supports better, fairer decisions across the board: recognising genuinely high performers (rather than just the loudest), spotting and rebalancing overloaded or under-utilised team members, identifying processes or tools that are wasting everyone's time, and catching disengagement early enough to support someone before it becomes a bigger problem. It also helps with practical questions like whether a software licence is actually being used, or whether a new tool is being adopted. Turning workforce productivity from an impression into measured, analysable data is the core value — it's a management-insight tool, and used constructively, it benefits both the organisation and employees.
A significant, distinctive advantage of Data Resolve's productivity monitoring is that it comes from the same endpoint agent and platform (inDefend) that delivers data-loss prevention and insider-threat detection. This is genuinely valuable because it means a single deployment gives you two important outcomes at once: workforce productivity insight AND data security. Rather than deploying one agent for productivity monitoring and a separate agent (from a separate vendor, with separate cost and management overhead) for DLP and insider-risk, you get both from one platform. The same underlying activity telemetry — what apps and sites people use, what data they move — is viewed through the lens of productivity in one part of the console and through the lens of security in another. This is more efficient (one agent, one vendor, one deployment), more cost-effective, and more coherent, and it means the productivity investment also strengthens your security posture (and vice versa). For organisations weighing a productivity-monitoring tool, getting insider-threat protection bundled into the same deployment is a compelling reason to choose an integrated platform like inDefend over a standalone productivity tool.
Productivity monitoring is most valuable — and most accepted — when it's used constructively and transparently, and Data Resolve's approach supports that. The goal isn't surveillance for its own sake or catching people out; it's understanding how work happens so it can be improved, workloads balanced, high performers recognised, and struggling employees supported early. Used this way — with transparency about what's monitored and why, focus on aggregate patterns and productivity insight rather than intrusive micro-surveillance, and decisions that benefit the team as well as the organisation — it becomes a legitimate management tool rather than a source of mistrust. As an India-built vendor, Data Resolve also brings an understanding of Indian workplace norms and the legal context around employee monitoring in India, helping organisations deploy it appropriately. The insight it provides — where time goes, where the bottlenecks are, who needs support or recognition — genuinely helps organisations run distributed workforces better, and when implemented thoughtfully, that's a benefit to managers and employees alike, not just a control imposed on staff.
Employee productivity monitoring is a competitive category with many tools, and Data Resolve's offering stands out for Indian organisations on value and fit. As an India-built product (Data Resolve, founded 2008, protecting over a million endpoints), it's priced for the Indian market rather than at premium global rates, making effective workforce visibility affordable at scale — which matters for a capability you might deploy across a large workforce. It comes with local support and delivery that understands Indian business and works in Indian time zones, and an understanding of the Indian workplace and legal context around monitoring. And critically, because it's part of inDefend, the productivity investment also delivers data-loss prevention and insider-threat protection from the same agent — so an Indian organisation gets workforce insight and genuine data security together, from a capable home-grown vendor, at a price that makes sense. For organisations wanting to manage a distributed workforce with data while also protecting their data, that combination of local value, integrated security and India-appropriate delivery is a strong, practical proposition.
Data Resolve Employee Productivity is a capable, practical, India-built workforce-monitoring capability — strong on the core tracking (apps, web, active time, hours), clear reporting, distributed-workforce insight, and, distinctively, bundled with real data security in the same inDefend agent, at India-friendly cost. The honest framing: dedicated global productivity/monitoring specialists (Teramind, ActivTrak, Hubstaff, and Indian-built peers like Insightful) may offer deeper, more polished purely-productivity analytics and features. And productivity monitoring should always be deployed thoughtfully and transparently, respecting employee trust and local legal norms. Data Resolve's edge is solid productivity visibility unified with DLP and insider-threat protection from one platform and agent — so you get workforce insight and data security together, not a standalone monitoring tool. TechBag scopes it honestly, including how to deploy it constructively, for your workforce.
Your distributed-team management needs, your productivity questions, and how you'll use monitoring constructively and transparently. TechBag scopes it free.
inDefend agent rolled out; productivity tracking (apps, web, active time, hours) baselining activity; productive/non-productive categories set.
Reports and dashboards live; trends and anomalies surfaced; workloads balanced, performers recognised, bottlenecks and disengagement addressed.
Distributed workforce managed with clear productivity data, AND data secured by the same agent (DLP + insider-risk). TechBag models it in INR/GST.
Trusted across regulated industries in 100+ countries
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“Remote work left us blind to how the team was doing. Data Resolve gave us the visibility back with data — where time goes, who's overloaded — without micromanaging.”
“The best part: one agent gave us productivity insight AND data-loss prevention. We didn't have to deploy and pay for two separate tools.”
“We stopped guessing about productivity and started deciding with data — recognising real performers, rebalancing workloads, fixing a process that was wasting everyone's time.”
“Active-vs-idle and app usage gave a truer picture than hours logged in. For a distributed team, that's the insight that matters.”
“India-friendly pricing let us roll it out across a large workforce affordably — the global tools were hard to justify at our scale.”
“Anomaly alerts flagged a productivity drop that turned out to be a disengaged employee. We supported them early instead of losing them.”
“The local support understood our workplace and the Indian legal context around monitoring — helped us deploy it constructively and transparently.”
“For pure productivity analytics, the specialist tools go a bit deeper — but bundling real security in the same agent won it for us.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the email security market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
India-built productivity + real security in one agent (inDefend). This page's product.
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
Solid productivity + DLP/insider-threat bundled, India-built.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
The global monitoring specialists — honest lanes; the edge is solid productivity insight bundled with real data security in one India-built agent, at local value.
| Dimension | Data Resolve | Teramind | ActivTrak | Insightful | No monitoring |
|---|---|---|---|---|---|
| Standing & origin | India-built, part of inDefend | Global specialist | Global specialist | Monitoring specialist | The gap |
| Productivity analytics depth | Solid | Deep | Deep | Strong | None |
| Bundled data security | A stand-out | Strong (UBA/DLP) | Productivity-only | Productivity-only | None |
| Cost & local support (India) | India-friendly + local | Global-priced | Global-priced | Moderate | Free |
| Best fit | India-built productivity insight bundled with real data security, one agent, local value | Deep monitoring + UBA/DLP | Pure productivity analytics | Focused productivity monitoring | Nobody managing distributed teams |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Drag the sliders (count users; IT-hour cost as loaded incident rate). Estimates assume ~1.5 hours per user per year handling email threats that reach the inbox without AI filtering, with ~70% removed by stopping the mass at the gateway — the avoided-breach value (most attacks start here) is the larger, unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Data Resolve Employee Productivity prices per endpoint / user (part of inDefend). TechBag scopes it for your workforce in one GST quote.
Best for workforce insight
Best for a broader rollout
Best value — one agent
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your device counts and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Confirm it tracks the signals you need — app usage, web activity, active/idle time, work hours.
Test productive/non-productive categorisation against YOUR definitions — reports that reflect real productivity.
Verify the visibility works for your remote/hybrid workforce — the office visibility, restored with data.
Review individual, team and org dashboards — the insight managers will actually use to decide.
Confirm the SAME agent delivers DLP and insider-risk — productivity plus security in one deployment.
Plan transparent, constructive deployment respecting employee trust and Indian legal norms — Data Resolve advises.
Confirm India-friendly pricing works at your workforce scale — affordable visibility across many endpoints.
Right-size per endpoint / user — TechBag scopes and quotes in INR/GST.
Scope a productivity PoC (app/web/time tracking and reports across your distributed team) — and get DLP + insider-risk in the same agent — or let a TechBag advisor plan it constructively.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.