Data analytics and AI applications

Data analytics and AI applications that turn scattered data into useful management insights

TS68 data analytics and AI applications help businesses bring data together from multiple sources, standardize key metrics, build Power BI dashboards or develop custom analytics systems around their own operations.

Once the data foundation is clear enough, we can extend it into practical AI use cases such as internal knowledge assistants, data Q&A, report summaries, request classification, anomaly alerts and automation for repetitive tasks.

When should a business invest in data analytics and AI applications?

Many businesses already have valuable data, but it is spread across accounting software, sales systems, inventory tools, CRM, websites, e-commerce channels, Excel files or Google Sheets. The challenge is not simply having data, but turning it into information that is easy to trust and easy to use.

Reports take too much time

Teams spend hours every day, week or month collecting files, filtering data, checking numbers and rebuilding the same reports by hand.

Numbers live in too many places

Revenue, costs, inventory, receivables, orders, customers and team performance are stored across different tools, files and databases.

Managers need faster visibility

Leadership needs to track revenue, profit, inventory, cash flow, KPI and operational progress without waiting for manual consolidation.

Issues need to be spotted earlier

Businesses can receive alerts when sales drop, inventory looks abnormal, receivables are overdue, costs rise or an operational process slows down.

AI needs a practical starting point

AI becomes useful when it starts from a clear business problem: document search, data Q&A, request classification or report summarization.

Data access needs control

Not everyone should see every number. Dashboards, reports and AI tools should respect roles, permissions and data boundaries.

Ways to implement business data analytics

TS68 can build fast, interactive dashboards with Power BI, or develop a custom analytics system when the business needs a more specific workflow, interface, permission model or user experience.

Power BI dashboards

Interactive dashboards for revenue, costs, inventory, receivables, KPI, marketing, operations or team performance.

Data connection and standardization

Bring together data from Excel, Google Sheets, accounting software, sales tools, inventory systems, CRM, websites, APIs or internal databases.

Management metric design

Clarify how the business calculates revenue, profit, inventory, receivables, conversion rate, handling time or its own internal metrics.

Custom analytics systems

Build a private reporting portal when the business needs branded interfaces, deeper permissions, additional input forms or integration with existing software.

Alerts and anomaly tracking

Set alerts for important signals such as declining sales, overdue receivables, long-held inventory, rising costs or delayed processes.

Report user training

Help teams read dashboards, filter data, understand metrics and use reports in sales, operations, finance or management meetings.

AI should start with a small, clear and useful business problem

AI creates value when it is connected to real workflows and trustworthy data. TS68 focuses on use cases that can be adopted quickly, measured in practice and expanded as the business becomes more confident.

Internal Q&A assistant

AI helps employees find answers from procedures, policies, technical documents, price lists, product guides or frequently asked questions.

Smart document search

Find information across contracts, internal documents, processes, customer records or archived data without opening files one by one.

Data and report Q&A

Let users ask questions about business data, receive analysis suggestions or get summaries from existing dashboards and reports.

Request classification and routing

AI can help classify tickets, emails, customer feedback, internal requests or content that needs to be routed to the right person.

Automated report summaries

Automatically summarize data, draft management comments, prepare meeting notes or send recurring reports in the format the business already uses.

AI with permissions and control

Design how AI accesses data based on user roles, reducing the risk of information leakage and keeping answers within approved boundaries.

What value does the business receive from data analytics and AI applications?

The goal is not to create as many charts or chatbots as possible. The real value is making data easier to trust, easier to read, easier to use and more useful for timely action.

Depending on the use case, data and AI can connect with implementation areas such as custom software development, Cloud infrastructure and business email, information security, outsourced IT services or digital transformation consulting.

Clearer data sources

Data is consolidated, cleaned and standardized so teams spend less time debating which number is correct.

Faster decisions

Managers have dashboards, alerts and reports at the right cadence, helping them see issues earlier.

Teams can self-serve better

Users are trained to read reports, filter data, understand metrics and apply data in daily work.

AI has a real foundation

AI is connected to specific data and workflows, avoiding trend-driven deployments that are difficult to measure.

Data analytics and AI applications implementation process

TS68 starts with management questions before choosing tools. Some businesses are best served by Power BI, some need a custom system, and some should standardize their data before moving into AI.

01. Define the business questions

Clarify what the business needs to see: revenue, profit, inventory, receivables, performance, customers, marketing, operations or risk.

02. Review existing data sources

Check which software, files or databases currently hold the data, who updates it, how complete it is and where errors commonly appear.

03. Standardize data and metrics

Align metric definitions, data structure, update responsibilities and access permissions for each group of users.

04. Build dashboards, custom systems or AI tools

Depending on the need, TS68 can implement Power BI, a custom analytics portal, an internal chatbot, a data assistant or automated workflows.

05. Train, measure and expand

Train users, collect feedback, refine reports and expand into new datasets or AI use cases when the business is ready.

Frequently asked questions

Should we use Power BI or build a custom analytics system?

If the main need is dashboards, management reports and internal analytics, Power BI is often a fast and cost-effective option. If the business needs a custom interface, deeper permissions, data entry, action workflows or integration into existing software, a custom system may be a better fit.

Can we start if our data is not clean yet?

Yes, but time should be allocated to standardize data and metric definitions. If the data is inconsistent or incomplete, dashboards and AI will struggle to create reliable value.

Can AI read internal documents and answer questions?

Yes, if the documents are organized and permissioned properly. TS68 can build an internal assistant for policies, procedures, price lists, technical documents or operational knowledge.

Do we need big data before using AI?

Not necessarily. Many useful AI use cases can start from documents, reporting data or repeated workflows. What matters most is choosing a small, clear problem with measurable value and controlled output.

Want to use data analytics and AI applications more effectively?

Share your reports, data sources and AI ideas with TS68. We will recommend a practical path forward: Power BI, a custom analytics system or phased AI applications.