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Data Analytics Services | Hyper Software

Data Analytics Services for Growing Businesses

Data analytics services turn the numbers scattered across your ERP, CRM, accounting software, store and spreadsheets into answers you can act on. Hyper Software connects your data sources, cleans and combines the data, and builds reports and dashboards that show what's really driving your business.

Most owners we meet don't lack data. They lack time to make sense of it.

What Data Analytics Services Include

Data analytics is the process of collecting, cleaning, analyzing, and presenting data to support better decisions. Our service includes:

  • Data audit: what data you have, where it lives, and how good it is.
  • Integration: pulling data from Tally, Zoho, SAP, Shopify, WooCommerce, CRMs, Google Analytics 4, and Excel.
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+91 9079282750

Development Technologies

Technologies & Video

NPM
  • Cleaning: fixing duplicates, spelling differences, missing values, and formats.
  • Data model or warehouse: one organized store for reporting.
  • Analysis: sales, margin, customers, products, operations.
  • Dashboards and reports in Power BI, Looker Studio, Tableau, or a custom web panel.
  • Recommendations in plain language.

4 Types of Analytics in Plain Language

Type Question it answers Example
Descriptive What happened? Sales by region last quarter
Diagnostic Why did it happen? Returns rose because of one courier
Predictive What is likely next? Expected demand next month
Prescriptive What should we do? Reorder levels per product

Business Questions Analytics Can Answer

  • Which products earn the most margin, not just the most revenue?
  • Which customers are about to stop buying?
  • Which sales reps or branches are growing, and which are slipping?
  • Where does stock get stuck?
  • Which marketing channels bring buyers, not just clicks?
Data Analytics

Client Testimonials

What Our Clients Say About Our
Data Analytics

Average Rating

4.9

(25) Customers reviews

Website design se lekar final launch tak pura process bahut smooth raha. Team har update time par deti rahi aur support bhi outstanding mila.

SV

Sachin Verma

Business Partner

Business website bilkul premium quality ki bani hai. Mobile responsive design aur clean layout ki wajah se customer experience bahut achha ho gaya. Highly recommended.

KS

Komal Sharma

Admin Manager

Website launch hone ke baad customer enquiries me noticeable increase hua. SEO aur speed optimization ka result clearly dekhne ko mila. Excellent work.

MB

Mohit Bansal

Store Owner

Project time par deliver hua aur quality expected se bhi better mili. Website speed aur SEO optimization dono excellent hain. Thank you Hyper Software.

MA

Manish Arora

Managing Director

Website development ke saath domain aur hosting ka complete solution bhi mila. Team ne har step par proper guidance di. Bahut trusted company hai.

NS

Nidhi Soni

Business Consultant

Our Data Analytics Process

  1. Kick-off: agree the 5 to 10 questions that matter most.
  2. Data audit and access to each source.
  3. Build the pipeline: extract, clean, combine, schedule refresh.
  4. Analyse and design dashboards around the questions.
  5. Review with you, then refine.
  6. Train your team and hand over, with optional monthly support.

Not sure where to start? Call or WhatsApp Hyper Software on +91 9079282750 or email info@hypersoftware.in for a free first consultation about Data Analytics.

Data Analytics Cost

Engagement Typical time Indicative cost
One-time analysis report 1 to 2 weeks ₹25,000 to ₹75,000 (about US$300 to US$900)
Dashboard setup with automated refresh 2 to 6 weeks ₹60,000 to ₹2,50,000
Ongoing analytics support Monthly ₹20,000 to ₹80,000 per month

Tool licences such as Power BI Pro are separate; Looker Studio is free for most uses.

Data Analytics

Do Analytics Yourself or Hire a Team?

Excel pivot tables work for small datasets and one source. Once you combine several systems and need automatic refresh, DIY reporting becomes a weekly copy-paste job prone to errors.

  DIY in Excel Professional analytics
Multiple data sources Manual Automated
Refresh Weekly copy-paste Scheduled
Single version of truth Hard Built in
Insight and advice Depends on you Included

Common Data Analytics Mistakes

  • Building dashboards before agreeing on definitions ("What counts as a sale?").
  • Too many charts and no clear KPIs.
  • Ignoring data quality problems.
  • Reports nobody owns or reviews.

Faq's

Frequently Asked Questions Data Analytics

What are data analytics services?

They are services that gather, clean and analyse your business data and present clear insights through reports and dashboards.

A one-time analysis usually costs ₹25,000 to ₹75,000. Automated dashboards cost more depending on data sources.

Yes. We combine data from accounting, eCommerce, CRM, ERP and spreadsheet sources.

Power BI, Looker Studio, Tableau or a custom web dashboard, chosen to fit your team and budget.

If you have several sources and want fast reports, a small warehouse or reporting database helps a lot.

Usually daily or hourly, depending on your sources.

Yes. We use secure connections, limited access and sign an NDA.

Yes. We build simple forecasts once there's enough clean history.

Both. We share key findings and suggestions in plain language.

Access to your main systems and the questions you most want answered.

How We Helped: A Typical Analytics Project

A multi-brand retailer had sales in its POS, online orders in Shopify, and costs in Tally. Monthly reports took the accounts team four days. We built a pipeline that pulled all three sources into one database every night and created a Power BI dashboard for margin by product, store and channel. The first review showed several fast-selling products were losing money after discounts and shipping. Pricing was adjusted the following month.

Why Choose Hyper Software for Data Analytics

  • Developers and analysts in one team, so data connections get built, not just designed.
  • Experience with Indian and international business software.
  • Plain-language insights for owners and managers.

People Also Ask

Common Questions & Answers Data Analytics

They collect, clean and analyse business data and present insights through reports and dashboards.

By showing which products, customers and channels make money and where costs leak.

SQL, Python, Excel, Power BI, Looker Studio, Tableau and BigQuery.

Analytics explains business data; data science builds predictive models and algorithms

From 1 to 6 weeks depending on sources and scope.

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