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Solutions - By Function

Tepco

Tokyo Electric Power

Innovative IT Solutions

Human Resources

Data Solutions and Unmatched Engineering Expertise

From streamlining workflows to enhancing productivity, discover how our tailored solutions can optimize your business functions and drive growth

Finance Function

Data engineering services play a critical role in helping finance departments to collect, process, and analyse data more efficiently, ultimately improving their ability to make informed business decisions

Use Case 1 - example of Function

These services play a crucial role in helping finance departments make better business decisions and improve operational efficiency.

1. Improved Data Collection: Collect data from multiple sources and consolidate it into a centralized repository. This makes it easier for finance professionals to access and analyze data in real-time, improving the accuracy and speed of financial reporting.
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2. Faster Data Processing: Automate data processing tasks, such as data cleansing, data transformation, and data aggregation. This saves time and resources, allowing the finance department to focus on more strategic tasks.
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3. Enhanced Data Analysis: Analyze large volumes of data quickly and accurately which allows the ability to identify trends and patterns.
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4. Improved Data Security: Ensure that sensitive financial data is protected against unauthorized access.
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5.Cost Savings: Automate many of the manual tasks associated with business processes which reduces the need for manual labor and increases operational efficiency.

Board and Executive Management Function

More Informed Decisions. Improve Operational Efficiency. Drive Growth

Use Case 1 - example of Board

Improved Data Integration: Integrate data from multiple sources, such as sales data, customer data, and market data. This allows for a holistic view of the business and enables better business decisions.

‍Enhanced Data Analytics: Analyze large volumes of data quickly and accurately allowing executives the ability to identify trends and patterns that would otherwise be difficult to spot.

‍Real-time Data Insights: Quick decisions based on up-to-date information, improving their ability to respond to changing market conditions.

‍Better Resource Allocation: Analyze data on resource utilization and demand, which improves resource allocation, reduces waste and improves operational efficiency.

‍Improved Risk Management: Identify and manage risks more effectively by analyzing data on potential risks. T

Sales Function

Improve Sales Strategies. Increase Revenue. Optimize Sales Processes.
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Use Case 1 - example of Sales

Improved Customer Data: Collect and consolidate customer data from multiple sources, such as social media, customer relationship management (CRM) systems, and sales automation tools. Gain a comprehensive understanding of the customer, their preferences, and their behavior.
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Enhanced Sales Analytics: Analyze sales data to identify patterns, trends, and opportunities. Optimize sales strategies, identify upsell and cross-sell opportunities, and increase revenue.
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Real-time Sales Insights: Real-time insights into your sales pipeline, customer behavior, and market trends. Make quick decisions based on up-to-date information, improving your ability to close deals and meet sales targets.
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Improved Sales Forecasting: Forecast sales with greater accuracy by analyzing historical sales data and market trends. Predict future sales with greater accuracy.
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Better Sales Performance Management: Monitor and manage the performance of your sales teams by analyzing sales data and tracking key performance indicators (KPIs). Identify areas where sales representatives need improvement and provide them with targeted coaching and training.

Marketing Function

Improve Marketing Strategies, Increase Customer Engagement. Optimize Marketing Processes

Use Case 1 - example of Marketing

Improved Customer Data: Collect and consolidate customer data from multiple sources, such as social media, customer relationship management (CRM) systems, and web analytics tools. Gain a comprehensive understanding of the customer, their preferences, and their behavior.

‍Enhanced Marketing Analytics: Analyze marketing data to identify patterns, trends, and opportunities. Optimize your marketing strategies, identify target audiences, and increase customer engagement.

‍Real-time Marketing Insights: Provide marketers with real-time insights into their marketing campaigns, customer behavior, and market trends.

‍Improved Marketing Forecasting: Forecast marketing performance with greater accuracy by analyzing historical marketing data and market trends. Predict future marketing performance with greater accuracy.

‍Better Marketing Performance Management: Monitor and manage the performance of your marketing teams by analyzing marketing data and tracking key performance indicators (KPIs).

Operations Function

Improve Operations Strategy. Increase Efficiency. Optimize Business Processes.

Use Case 1 - example of Marketing

Improved Data Collection and Integration: Collect and integrate data from various sources and systems enabling a comprehensive view of your business processes and performance.
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Enhanced Operations Analytics: Analyze operational data to identify patterns, trends, and opportunities. This allows operations managers to optimize their processes, reduce costs, and improve efficiency.
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Real-time Operations Insights: Real-time insights into your operations processes and performance. This enables you to make quick decisions based on up-to-date information, improving your ability to optimize operations and reduce downtime.
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Improved Forecasting: Forecast business performance with greater accuracy. By analyzing historical operational data and market trends, operations managers can predict future performance with greater accuracy.
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Better Operations Performance Management: Monitor and manage the performance of your operations teams by analyzing operational data and tracking key performance indicators (KPIs). Identify areas where operations teams need improvement and provide targeted coaching and training

Human Resources Function

Improve HR Strategies. Increase Employee Engagement. Optimize HR Processes.

Use Case 1 - example of Marketing

Improved Employee Data: Collect and consolidate employee data from multiple sources, such as payroll systems, benefits systems, and performance management systems. This allows HR managers to have a comprehensive view of the employee, their performance, and their engagement levels.
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Enhanced HR Analytics: Analyze HR data to identify patterns, trends, and opportunities. Optimize your HR strategies, identify top performers, and increase employee engagement.
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Real-time HR Insights: Real-time insights into their HR processes, employee behavior, and market trends allows for quick decisions based on up-to-date information. This improves the ability to manage employees effectively.
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Improved HR Forecasting: Forecast HR performance with greater accuracy by analyzing historical HR data and market trends, HR managers can predict future performance with greater accuracy.
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Better Talent Management: Monitor and manage the performance of your employees by analyzing HR data and tracking key performance indicators (KPIs). Identify areas where employees need improvement and provide them with targeted coaching and training which can help to retain top talent and improve overall employee engagement.

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At Unicage, we create cutting-edge software solutions for businesses of all sizes.