Data & Analytics Solutions

Your data is slow, risky and stuck in spreadsheets. I fix that.

I help small and mid-sized companies turn manual, error-prone reporting into fast, secure, automated SQL Server systems β€” so your team stops firefighting data and starts trusting it.

15+Years in SQL Server & MSBI
5Regulated industries served
90%+Typical report-time reduction

⚑ Before  β†’  After I step in

Daily reconciliation report6 hrs8 min
Checkout query (peak sale)12 sec0.2 sec
Month-end close reports3 daysAutomated
Audit / compliance pullManual1 click
🏦 BankingπŸ’Š PharmaπŸ›’ E-commerceπŸ₯ HealthcareπŸ’ Weddings/Events
Why It Matters

Three ways clean, well-run data pays for itself

Most companies don't have a "database problem" β€” they have a time, trust and money problem that shows up as slow reports, late nights, and nervous audits. Here's where I move the needle.

⏱️

Save Time

Manual Excel exports, copy-paste reports and "wait, which file is the latest?" chaos get replaced with automated SQL jobs and one-click dashboards. Reports that took days run in minutes β€” hands-off.

πŸ”’

Protect & Secure

Tested backups, point-in-time recovery, encryption, row-level security and masked sensitive data. When an auditor, a ransomware scare or a failed disk shows up, you're covered β€” not scrambling.

πŸ’°

Cut Cost & Risk

Faster queries mean smaller servers and lower cloud bills. Fewer manual errors mean fewer costly mistakes, penalties and lost sales. Better data means better decisions with real money behind them.

What I Do

Four pillars of a healthy database β€” covered end to end

Whether you need to build it right, keep it running, make sense of it, or make it fast β€” this is the full lifecycle I manage for you.

01 Β· DEVELOPMENT

Database Development

Stable, well-designed foundations that keep your data clean and your logic maintainable.

  • Normalized schema & smart data-type design
  • Modular stored procedures, functions & triggers
  • Transaction control & correct isolation levels
  • Keys & constraints that guard data integrity
02 Β· MAINTENANCE

Maintenance & Recovery

Uptime, backups and health checks so production keeps running β€” and survives the bad day.

  • Automated SQL Agent maintenance plans
  • Index rebuilds & statistics upkeep
  • Full / differential / log backup strategy & tested restores
  • DBCC CHECKDB corruption detection
03 Β· REPORTING & BI

Reporting & Data Analysis

Turn raw tables into dashboards leaders actually use to make decisions.

  • SSRS paginated & drill-down reports
  • SSAS cubes & Power BI dashboards
  • Advanced T-SQL: window functions, CTEs, PIVOT
  • Excel & VBA macro automation for finance teams
04 Β· PERFORMANCE

Performance Tuning

Kill the slowness β€” faster apps, lighter servers, happier users.

  • Query rewrites & execution-plan analysis
  • Strategic & covering indexes
  • Query Store & Tuning Advisor workflows
  • MAXDOP & memory tuning for stability
SQL Server / SSMST-SQLSSISSSRSSSASPower BIQuery StoreExcel + VBA MacrosMSBI Stack Data Consulting
Real Case Scenarios

How I've solved this in the real world

Five true-to-life examples from the industries I've worked in β€” the problem, the exact workflow I used, and what it saved in time, security and money.

🏦
Banking & Finance

Daily reconciliation that ate 6 hours every morning

6 hrs β†’ 8 min
1Problem

Two analysts manually merged core-banking exports in Excel each morning to match transactions. Slow, error-prone, and reports were ready only by lunch β€” too late for decisions.

2Approach

Built an SSIS pipeline to auto-import the daily feeds, matched records in T-SQL with clear rules, and flagged exceptions into a dedicated table.

3Solution

SSRS report emailed at 7 AM with matched totals and an exceptions-only view. Row-level security so each branch sees only its own data, plus a full audit trail.

βœ“Result

6 hours β†’ 8 minutes, hands-off. Two analysts freed for real analysis, and clean audit logs for the regulator.

⏱️~30 hrs/week of manual work removed
πŸ”’ Branch-level access + audit trail
πŸ’° Errors & late-day risk near zero
πŸ’Š
Pharma & Life Sciences

Expiring drug batches were being discovered too late

Zero missed expiries
1Problem

Batch & expiry tracking lived in scattered spreadsheets. Expired stock was caught during physical counts β€” meaning write-offs, and stressful, manual regulatory audit prep.

2Approach

Centralized batch, lot and expiry data into a normalized SQL Server schema with strict constraints so no batch could be logged without an expiry and source.

3Solution

An SSAS cube + Power BI dashboard for stock-by-expiry, plus a scheduled SQL job that alerts 90/60/30 days out. One-click audit report for inspectors.

βœ“Result

No more surprise expiries. Audit prep dropped from days to minutes, and write-offs fell sharply.

⏱️ Audit prep: days β†’ minutes
πŸ”’ Traceable, constraint-enforced batch data
πŸ’° Fewer write-offs & compliance penalties
πŸ›’
E-commerce & Retail

The site crawled β€” and crashed β€” during the big sale

12s β†’ 0.2s
1Problem

Product search and checkout queries took 10–12 seconds under load. During peak sale traffic the database maxed out and carts were abandoned β€” direct lost revenue.

2Approach

Captured the real workload with Query Store, read actual execution plans, and found table scans, SELECT * and missing indexes on the hot paths.

3Solution

Rewrote the worst queries, added targeted covering indexes, removed implicit conversions, and tuned MAXDOP & max memory to keep the server stable under load.

βœ“Result

12s β†’ under 0.2s. The next sale ran on the same hardware with no downtime β€” no costly emergency upgrade.

⏱️ 60Γ— faster checkout queries
πŸ”’ Stable under peak load, no crashes
πŸ’° Recovered lost sales + avoided server upgrade
πŸ₯
Healthcare

A corrupt database β€” and no confidence the backups worked

Recovery proven
1Problem

Patient-records database had never had a tested restore. Backups "existed" but no one knew if they'd work β€” and sensitive data sat unencrypted and widely accessible.

2Approach

Ran DBCC CHECKDB (caught early corruption), set full + differential + log backups, and rehearsed point-in-time restore on a test server.

3Solution

Enabled encryption (TDE), masked PII for report users, and locked down access by role so only the right staff see patient identifiers.

βœ“Result

Provable recovery to any point in time, corruption caught before data loss, and a privacy posture that stands up to review.

⏱️ Recovery time known & tested
πŸ”’ Encrypted + masked + role-based access
πŸ’° Data-loss & breach exposure minimized
πŸ’
Wedding & Events

Double-booked venues and payments lost in spreadsheets

Zero double-bookings
1Problem

Bookings, vendors and payments were tracked across personal Excel files. Venues got double-booked, deposits were missed, and no one had a single view of the pipeline.

2Approach

Designed a central SQL Server booking database with constraints preventing overlapping venue/date bookings and linking each event to its vendors and payment schedule.

3Solution

A dashboard for upcoming events, outstanding payments and vendor tasks β€” plus automated reminders for deposits and balance due dates.

βœ“Result

No double-bookings, no missed deposits, and the owner finally sees the whole business on one screen.

⏱️ One source of truth, no file juggling
πŸ”’ Booking conflicts blocked by design
πŸ’° Captured missed deposits & late payments
πŸ—„οΈ
IT Operations Β· Any Growing Business

"Backups" were one person clicking a button β€” until the day they didn't

Backups on autopilot
1Problem

One IT staffer took the backup manually each day because "someone said to." Some days it was simply forgotten. Worse β€” data, log and backup files all sat on the same drive, which was steadily filling up as the business grew. One disk failure would have wiped the database and its only backup at once.

2Approach

Replaced the human routine with SQL Server Agent jobs: scheduled Full + Differential + Log backups with no one to remember them. Separated data (.mdf), log (.ldf) and backups onto different drives, and copied backups off the server (the 3-2-1 rule).

3Solution

Right-sized the files and tamed log growth with regular log backups instead of blind shrinking; archived old data and auto-cleaned expired backups. A daily email report lands each morning: backup success/failure, RESTORE VERIFYONLY check, database-size trend and free space left on every drive.

βœ“Result

Zero missed backups, verified and stored safely off the primary drive. The team sees drive space filling weeks in advance β€” no more 2 AM "disk full" outages.

⏱️ Manual daily task fully removed
πŸ”’ Verified backups, off-drive & off-server
πŸ’° Outages & catastrophic data loss avoided
πŸŽ“
Education Β· Coaching & Training Institutes

Which courses actually make money? Nobody could say

Profit per course, at a glance
1Problem

A multi-branch training institute knew its total revenue, but not which courses earned it. Spend on ads, faculty, staff, hoardings, classrooms and infrastructure was scattered across files. Management was investing on gut feel β€” pouring ad money into courses that were quietly running at a loss.

2Approach

Built one SQL Server model tying every cost and every rupee of fee income back to a course, batch and branch. Shared costs like rent, signage and admin staff are split fairly across courses using clear allocation rules β€” so each course carries its true, full cost.

3Solution

A Power BI dashboard for leadership: revenue, total spend and net profit per course, cost-per-enrolled-student, ad spend vs. admissions generated (real ROI), and branch-vs-branch comparison β€” with drill-down from institute β†’ branch β†’ course β†’ batch.

βœ“Result

Management saw exactly where to invest and where to stop. Loss-making courses were cut or repriced and ad budget shifted to proven winners β€” margins up without raising fees.

⏱️ Section-wise P&L: instant, not month-end
πŸ”’ One trusted number, no conflicting files
πŸ’° Ad spend redirected to profitable courses
How We'll Work Together

A simple, low-risk way to start

Free Health Check

A short call + a look at your current setup. You get an honest read on quick wins and real risks β€” no obligation.

Clear Proposal

A plain-English plan with scope, timeline and fixed pricing. You know exactly what you're getting and what it's worth.

Build & Improve

I implement in safe, testable steps β€” with backups and rollback ready β€” so your live systems are never put at risk.

Handover & Support

Documentation, automation and training so your team is self-sufficient. Ongoing support available if you want it.

Mr. Narayana - Data and Analytics Solutions
15+ Years Experience
Mr. Narayana Data Scientist Β· SQL Server Β· MSBI Β· Power BI Β· Business Intelligence
Data Scientist

Mr. Narayana – Data & Analytics Solutions | Business Intelligence

At Nayana Group, under the leadership of Mr. Narayana, Data Scientist, we empower businesses with Data & Analytics Solutions and Business Intelligence services that transform data into actionable insights. With over 15 years of industry experience, Mr. Narayana has guided organizations in improving performance, streamlining operations, and making informed business decisions through SQL Server consulting, database optimization, reporting, and analytics solutions.

As a Data Scientist, his expertise includes SQL Server, MSBI, Power BI, SSIS, SSRS, SSAS, T-SQL, database development, database administration, performance tuning, data integration, dashboard and report development, and Business Intelligence solutions. We help organizations across banking, healthcare, pharmaceuticals, e-commerce, education, and other industries build secure, scalable, and high-performing data environments.

FAQ

Questions clients ask before we start

Small and mid-sized companies are exactly who I focus on. You often get the most value fastest, because small fixes β€” a few indexes, one automated report, a tested backup β€” remove daily pain and risk that's been costing you for years.

Nothing risky happens without a tested backup and a rollback plan first. I work in safe, reversible steps and validate changes on a test copy before anything goes live. Protecting your data comes before any optimization.

Not at all β€” that's a great time to talk. I can automate your existing Excel work with macros immediately, and design a proper SQL Server foundation you can grow into. You don't have to migrate everything at once.

Whatever fits the work. Well-defined projects (a report, a tuning engagement, a backup strategy) are usually fixed-price so there are no surprises. Ongoing maintenance and on-call support can be a simple monthly retainer.

Performance tuning and report automation often show results in the first week or two β€” a slow query or a manual report is usually a quick, high-impact win. Larger builds are staged so you see value at each step, not just at the end.

Yes. Backups & tested recovery, encryption, data masking, role-based access and audit trails are core to what I do β€” especially for banking, pharma and healthcare clients where audits and privacy are non-negotiable.

The free health check exists precisely to find that out. I'll tell you honestly where the real issue is β€” even if it's not a database problem β€” and point you in the right direction rather than sell you work you don't need.

Almost always, yes. If a report is the same copy-paste-format ritual every day or week, it's a perfect fit for automation. I use Excel macros (VBA) and Power Query to pull, clean and format the data at the click of a button β€” turning a daily 2-hour job into a few seconds, with fewer mistakes. It's often the quickest, cheapest win for a small business.

That's one of my favourite jobs. I take the scattered sheets your team already maintains and build a clean, single-screen dashboard β€” sales, spend, stock, targets, whatever matters β€” that refreshes automatically. Management gets one trusted view to make decisions from, instead of chasing five different files that never quite agree.

Absolutely. Not every business needs heavy software. For small-scale industries I build "mini-automation" β€” a lightweight app or smart Excel tool (with a SQL back-end when needed) that handles your specific repeated task: entries, invoices, stock, bookings. Right-sized, affordable, and focused on the one thing that's eating your team's time.

Get In Touch

Let's find your quickest win

Book a free, no-pressure data health check. Tell me what's slow, risky or manual β€” I'll tell you exactly where I'd start and what it's worth fixing.