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DPDP Insights › Public sector undertakings and utilities › Data and analytics head

DPDP for the Data and analytics head in PSUs and utilities

Reviewed by InfraVeritas360 ResearchFirst published Last reviewed

Sources: DPDP Act, 2023 and DPDP Rules, 2025 (MeitY) · MeitY · CERT-In · NCIIPC · Central Electricity Authority

You work with data on lakhs of consumers: connections, consumption, bookings, travel and subsidy.

Written for: Data and analytics head, Public sector undertakings and utilities. Open this seat in the interactive tool

What is different here

Smart-meter readings and travel-card data can show how people live and move. Supply, billing and planning fit the purpose consumers gave data for; offers from partners do not. Aggregate wherever the question allows.

The first four things to sort out

  1. Check the purpose before each analysis.
  2. Aggregate meter and travel data for planning.
  3. Never share consumer lists for partners' own offers.
  4. Give analysis copies their own deletion date.

A worked example

Data and analytics head

A discom plans load forecasting with smart-meter data

  1. Day 1Planning asks for household-level readings for a year.
  2. Day 3The team checks the purpose: billing and supply planning are covered.
  3. Week 1The model uses readings totalled by feeder and area, with no consumer names.
  4. AfterThe household-level copy is deleted and the aggregate is kept.

Evidence kept

  • Purpose check
  • Data specification
  • Deletion record

Planning needs totals, not households.

What others in the sector usually do. Analytics teams in utilities commonly use aggregated, area-level data for load and route planning.

Where it usually goes wrong, by organisation type

Organisation typeHotspots
Oil and gas marketingDistributor registers and delivery slips with addresses; Subsidy and Aadhaar data in distributor software; Consumer numbers shared with marketing partners
Power generation and transmissionContract labour gate passes and biometrics; PSU hospital records of employees and families; Township allotment and resident records
Electricity distribution (state discoms)Smart-meter data held by the meter vendor; Billing files shared with collection agencies; Consumer lists exposed on public bill lookup pages
Transport undertakings (rail PSUs, metro, state road transport)Passenger lists and reservation charts; Concession passes with ID copies; CCTV and travel-card data
Steel, mining, defence production and heavy industryMedical surveillance records of workers; Township and school records; Resettlement and compensation records of affected families
State development corporations and boardsLottery and allotment lists published with full details; Ration and supply records; Old paper files in record rooms

9 questions the Data and analytics head asks, answered in full

What about distributors, dealers and franchisees?

Short answer: Yes, you are responsible for what they do with your consumers' data

When distributors, dealers or franchisees handle consumer data for your service, they act for you, and you are responsible. Give them only what they need, add a data clause to agreements, train them, and check a sample every year. If a partner uses data for its own business, such as selling insurance, that is outside your purpose and must stop.

What the law says

Section 8(1) and 8(2) cover processors. Section 8(1)–(2) · Section 8(5) · Rule 6 · Section 6

Steps
  1. List partner types and numbers.
  2. Issue a standard data clause.
  3. Give masked views where possible.
  4. Train partners.
  5. Check samples yearly.
Evidence to keep
  • Partner list
  • Signed clauses
  • Training and check records
Common mistakes
  • Full consumer exports to partners
  • No clause
  • No checks

Can we use customer data for analytics and models?

Short answer: Yes, within the purpose or with consent

Yes, where the use fits the purpose people were told, or you have consent for it. Improving the service people signed up for usually fits. Selling insights, profiling for third parties or targeting children does not. Mask or aggregate wherever the question allows, and give analysis copies their own deletion date.

From your seat: Data and analytics head. Check the purpose before each new analysis. Purpose decides whether you need consent.
What the law says

Section 4 needs a lawful basis for each purpose. Section 6 needs specific consent. Section 9 bars behavioural monitoring of children. Section 8(3) asks for accuracy when data drives decisions. Section 4 · Section 6 · Section 9 · Rules 10, 12 · Section 8(3)

Steps
  1. Write the question and the data needed.
  2. Check the purpose people were told.
  3. Mask or aggregate by default.
  4. Get consent for uses outside the purpose.
  5. Set a deletion date for the copy.
Evidence to keep
  • Purpose checks
  • Data specifications
  • Retention entries
Common mistakes
  • Using all data because it is there
  • Analysis copies with no end date
  • Profiling children

How do we build privacy into a new product or system?

Short answer: Four questions at design, then build the basics in

Ask four questions at the design stage: what personal data, why, for how long, and who sees it. Then build in what the Act assumes: a notice, consent where needed, role-based access, logs of record views, a way to delete, and a way to answer requests. Adding these after launch costs far more.

From your seat: Data and analytics head. Work with masked or aggregated data wherever the question allows.
What the law says

Sections 5 to 12 assume systems that can show notices, record consent, limit access, log, delete and answer requests. Section 5 · Rule 3 · Section 6 · Section 8(5) · Rule 6 · Section 8(7) · Rule 8 · Sections 11–14 · Rule 14

Steps
  1. Add the four questions to design templates.
  2. Drop data you do not need.
  3. Build access roles and record-view logs.
  4. Build deletion and request export.
  5. Register the system in the inventory at launch.
Evidence to keep
  • Design review records
  • Inventory entries
  • Deletion tests
Common mistakes
  • Privacy review only at launch
  • Collecting 'in case we need it'
  • No delete function

Do we need a Data Protection Impact Assessment?

Short answer: Required only for SDFs; good practice for high-risk changes

By law, only Significant Data Fiduciaries must do a yearly impact assessment. For everyone else it is good practice for high-risk changes: new tracking, profiling, large data sharing, children's data or moving data abroad. A short assessment before the change is cheaper than fixing it later.

From your seat: Data and analytics head. Profiling and automated decisions deserve an assessment.
What the law says

Section 10 and Rule 13 require a yearly impact assessment for Significant Data Fiduciaries. Section 10 · Rule 13 · Section 9 · Rules 10, 12 · Section 16 · Rule 15

Steps
  1. Define what counts as a high-risk change for you.
  2. Use a two-page template.
  3. Record the data, purpose, risks and safeguards.
  4. Get the DPO's view before approval.
  5. Keep it with the project record.
Evidence to keep
  • Assessment template
  • Completed assessments
  • DPO views
Common mistakes
  • Treating it as paperwork after launch
  • A 40-page template nobody completes
  • No trigger list

Do we process children's data, and what changes if we do?

Short answer: Check every channel; children often appear where you least expect

Anyone under 18 is a child under the Act. For a child's data you need verifiable consent from a parent or lawful guardian, and you must not track, behaviourally monitor or show targeted ads to children. Some classes and purposes are exempt under Rule 12 and the Fourth Schedule, for example healthcare to the extent needed to protect the child's health, and educational institutions for their educational work.

From your seat: Data and analytics head. No behavioural monitoring of under-18s.
Example in PSUs and utilities

PSU schools and hospitals handle children's data.

What the law says

Section 9 sets the duties. Rule 10 explains how to verify the parent. Rule 12 and the Fourth Schedule list the exemptions. Section 9 · Rules 10, 12 · Section 6

Steps
  1. Find where children's data enters: customers, dependants, interns, visitors, scholarships, app sign-ups.
  2. Decide whether an exemption in the Fourth Schedule applies to that purpose.
  3. Where none applies, add an age question and a parent-consent step.
  4. Switch off tracking and targeted ads for under-18 users.
  5. Record the decision for each channel.
Evidence to keep
  • Channel-by-channel note on children's data
  • Parent-consent records
  • Ad and tracking settings
Common mistakes
  • Assuming 'we are B2B, so no children'
  • Using the age 13 or 16 from foreign laws
  • Treating a tick-box from the child as parental consent

How long can we keep personal data?

Short answer: For the legal or business period, then erase

Keep data for as long as its purpose needs, or as long as a law requires, and then erase it. Every organisation must keep personal data and logs for at least one year under Rule 8(3). Write a retention schedule by record type, with the law or reason against each period.

From your seat: Data and analytics head. Analytics copies often outlive the source. Give them their own period.
Example in PSUs and utilities

Pension and service records are kept long; consumer records follow legal and business needs.

What the law says

Section 8(7) asks for erasure when the purpose is over, unless a law requires retention. Rule 8(3) sets a one-year minimum for personal data, traffic data and logs. Section 8(7) · Rule 8 · Section 8(5) · Rule 6

Steps
  1. List the record types you hold.
  2. Write the period for each, with the law, regulator rule or business reason.
  3. Set a trigger for the period to start: end of relationship, date of transaction, exit date.
  4. Automate deletion where you can; for paper, schedule shredding.
  5. Keep a deletion log.
Evidence to keep
  • Retention schedule approved by Legal
  • Deletion log
  • Shredding or disposal certificates
Common mistakes
  • 'Keep everything forever' because storage is cheap
  • Deleting before the legal minimum
  • Forgetting email, shared drives and backups

Where does personal data live in our organisation?

Short answer: Start with one row per system

Usually in more places than anyone expects: core systems, email, shared drives, laptops, vendor systems, backups, test copies, spreadsheets and paper. A simple inventory, one row per system, is the base for every other duty.

From your seat: Data and analytics head. Register every data set and its source.
Example in PSUs and utilities

Include distributor software and township systems.

What the law says

Every duty in Sections 5 to 12 assumes you know where the data is. Rule 6 needs safeguards for each system, and Section 11 needs you to find the data when someone asks. Section 8(5) · Rule 6 · Sections 11–14 · Rule 14 · Section 8(7) · Rule 8 · Section 3

Steps
  1. List systems, then shared drives, email, spreadsheets and paper stores.
  2. For each one, note whose data, which items, purpose, owner, hosting location and vendors.
  3. Add copies: backups, test, analytics.
  4. Get each owner to confirm their rows.
  5. Update it whenever a system is bought or retired.
Evidence to keep
  • Data inventory
  • Owner confirmations
  • Change log
Common mistakes
  • A 200-column spreadsheet nobody finishes
  • Leaving out SaaS tools bought by departments
  • No owner for each row

What must a vendor contract say about personal data?

Short answer: Yes, every vendor that touches personal data

You stay responsible for what your vendors do with personal data. The contract should say what data they get, for what purpose, the security they must keep, how fast they must tell you about an incident, that sub-contractors need your approval, and how data is returned or deleted at the end.

From your seat: Data and analytics head. Analytics and cloud vendors receive large copies. Check their terms.
Example in PSUs and utilities

Distributors, franchisees, meter vendors, ticketing vendors and labour contractors.

What the law says

Section 8(1) keeps responsibility with you. Section 8(2) allows a processor only under a valid contract. Rule 6 asks for security terms in that contract. Section 8(1)–(2) · Section 8(5) · Rule 6 · Section 8(6) · Rule 7 · Section 8(7) · Rule 8

Steps
  1. List vendors who receive or can see personal data.
  2. Rank them by how much and how sensitive.
  3. Add a data-protection schedule to each contract, starting with the top ten.
  4. Ask for evidence: certificates, test results, deletion confirmations.
  5. Review the top vendors every year.
Evidence to keep
  • Vendor register
  • Signed data-protection schedules
  • Annual review notes
Common mistakes
  • Relying on the vendor's standard terms
  • No incident-notice time
  • No exit and deletion clause

The sections you will use most

Other rules that sit alongside DPDP

RuleWhat it saysWhat it means alongside DPDPSource
DPDP Act, Section 2(x) and Article 12 of the ConstitutionThe Act defines 'State' with the meaning in Article 12. Many PSUs have been treated as 'the State' by courts, depending on government control.Get a legal view on which activities can rely on Section 7(b), 7(c) and 17(4). Customer-facing commercial work usually follows full duties.MeitY
CERT-In Directions, 2022Report specified cyber incidents within six hours; keep ICT logs 180 days in India.Applies to every PSU.CERT-In
IT Act, Section 70 and NCIIPCSystems notified as protected systems come under NCIIPC's critical information infrastructure framework.Plant control, grid and pipeline systems may be notified; personal data in them follows DPDP too.NCIIPC
CEA (Cyber Security in Power Sector) Guidelines, 2021Cyber security requirements for power sector utilities, including incident reporting and supply chain controls.Power PSUs and discoms can use this evidence for DPDP Rule 6.Central Electricity Authority
Aadhaar Act, 2016Aadhaar-linked subsidies such as LPG must store Aadhaar numbers securely and limit sharing.Distributor systems and counters must not keep Aadhaar copies.UIDAI
Labour Codes (in force from 21 November 2025)Registers for workers and contract labour, health and safety records for hazardous work.Set retention for worker and contract labour records against the codes and state rules.Ministry of Labour
SEBI LODR Regulations (listed PSUs)Listed PSUs follow disclosure and governance rules.Board-level reporting on data protection fits into existing risk committee work.SEBI
RTI Act, Section 8(1)(j) as amendedPersonal information is exempt from RTI disclosure since 13 November 2025.PSU CPIOs should apply the new wording with reasoned orders.SFLC.in summary
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