Digital &
Technology Skills

These are not optional skills in GBS — they are the baseline.

• XLOOKUP is replacing VLOOKUP for good reason: it handles left lookups and missing values gracefully.
• Pivot tables let you summarize thousands of transactions in seconds.
• If you cannot do these without a tutorial, you are slower than your peers and it shows in every deliverable.

Master data is the foundation every transaction sits on — vendor records, customer records, chart of accounts, material masters.

• When master data is wrong, everything downstream is wrong.
• MDM is not glamorous work, but it is the single biggest determinant of whether your GBS processes produce clean output or constant exceptions.

Power Query eliminates the manual data cleanup that consumes hours of analyst time every week.

• Connects to multiple sources, applies repeatable transformation steps, and refreshes with a click.
• GBS analysts who learn Power Query move from data preparation to data analysis — and their managers notice the difference in turnaround time.

Power BI turns raw data into interactive dashboards that update automatically.

• In GBS, building a self-service dashboard for stakeholders — instead of emailing static Excel reports — is a career differentiator.
• You do not need to be a data scientist. You need to connect a data source, build a visual, and publish it.

Financial models in GBS cover business cases, TCO analysis, headcount planning, and automation ROI.

• Transparent — anyone can trace the logic.
• Flexible — assumptions are parameterized.
• Stress-tested — what happens if volume grows 30%? Most GBS models fail on this point.

ERP systems are the backbone of GBS operations — every invoice, payment, journal entry, and purchase order flows through them. Understanding how transactions move through an ERP (document types, posting logic, approval workflows) is the difference between being a process operator and being a process owner.

Ticketing systems are how GBS tracks, routes, and resolves service requests. ServiceNow dominates enterprise GBS; Zendesk appears in smaller operations. Understanding ticket lifecycle (open, assigned, in progress, resolved, closed) and SLA timers is fundamental to every service delivery role.

Project and task management tools organize work across teams and track progress. Jira is standard in tech-adjacent GBS teams; Asana fits operational workflows. The tool is less important than the discipline: if your team tracks work in email and chat instead of a shared board, nothing is visible and nothing is accountable.

RPA uses software bots to execute rule-based tasks that humans currently do manually — data entry, report generation, system-to-system transfers. Intelligent automation adds decision-making capability through AI. In GBS, automation redirects people from repetitive tasks to judgment-based work.

Not every process is worth automating. The ability to assess suitability before investing saves more money than the automation itself.

• Best candidates: high-volume, rule-based, stable, digital.
• Worst candidates: low-volume, judgment-heavy, frequently changing, or dependent on unstructured inputs.

IDP extracts structured data from unstructured documents — invoices, contracts, purchase orders, emails. Modern IDP combines OCR with machine learning to handle varying formats. In GBS, IDP is the gateway to automating the 40% of work that starts with "someone emailed a PDF."

Generative AI is reshaping how GBS teams draft communications, summarize documents, analyze data, and generate code.

• The skill is not using the tool — it is knowing when to use it, how to prompt it, and how to validate its output.
• GBS professionals who treat AI as a productivity multiplier (not a replacement) are pulling ahead.

No-code platforms like Power Automate, Zapier, and Make let you build automation workflows without writing code.

• In GBS, an analyst can automate their own email notifications, data transfers, and approval routing — without waiting for IT.
• The barrier to automation has dropped to zero. The only barrier left is initiative.

Process mining extracts actual process flows from system event logs — showing how work really moves versus how you think it moves. Celonis and UiPath Process Mining reveal bottlenecks, rework loops, and compliance deviations that manual process mapping misses. It is the X-ray for your operations.

Hyperautomation combines RPA, AI, process mining, and workflow orchestration into end-to-end automated processes. It is the maturity destination beyond individual bot deployments. Getting there requires:

• an automation center of excellence
• a pipeline of use cases
• governance to prevent bot sprawl

Every GBS professional interacts with cloud services daily — understanding the model tells you who is responsible for security, uptime, and data residency.

• SaaS — software you use (Salesforce, ServiceNow).
• PaaS — a platform you build on (Azure, AWS Lambda).
• IaaS — infrastructure you rent (virtual servers, storage).

PII flows through GBS processes constantly — employee records, customer data, vendor contacts.

• GDPR and similar regulations define how you collect, store, process, and delete this data.
• A single mishandling incident can trigger fines, reputational damage, and career consequences.
• Privacy is not optional compliance — it is operational discipline.

Zero trust means no user, device, or bot is trusted by default — every access request is verified.

• In GBS, this is critical as automation scales: RPA bots need credentials, AI tools access sensitive data, and remote teams connect from multiple locations.
• Securing automation is not IT's job alone — process owners must understand what their bots can access and why.