BI Data Expert

Software Services For Business Needs

Analysis

The process of examining and evaluating the feasibility, scope, and requirements of a project.

Planning

The process of identifying, securing, and managing the resources needed to execute a project successfully. Resources include people, materials, equipment, and budget

Solution

The process in designing, developing, testing and deploying the actual software solution how the software will look, behave and function, based on the requirements gathered during the analysis phase.

Support & Maintenance

Ensure that the software continues to meet the needs of users and remains effective and efficient over time.

Data Scraping

Extracting information from websites, documents, or any other digital sources. This information is usually in an unstructured format and needs to be extracted and organized into a structured format for analysis and processing. Data scraping can be used for a wide range of applications, including market research, competitive analysis, lead generation, and data mining.

Data scraping is typically used to collect large amounts of data quickly and efficiently, for a variety of purposes such as market research, price comparison, or data analysis
To perform data scraping, programmers often use specialized software or scripts to automate the process of retrieving data from websites, images, pdf or another sources
It's important to ensure that data is scraped ethically and legally, and that appropriate permissions are obtained if necessary

Data Cleaning

Data profiling to identify issues, data validation to ensure accuracy, data transformation to correct errors or inconsistencies, and data integration to combine cleaned data from multiple sources. Removing inaccuracies, incomplete, irrelevant, or duplicate data in order to improve the overall quality of the data. Data cleaning is important because inaccurate or inconsistent data can lead to incorrect conclusions or decisions based on the data.

The goal of data cleaning is to ensure that data is accurate, complete, and consistent, so that it can be used for analysis or other purposes
May need to be addressed during data cleaning include missing data, duplicate records, incorrect values, formatting inconsistencies, and outliers
Manual review and correction, automated cleaning tools, and statistical methods such as imputation or outlier detection

Data Analysis

The process of examining, transforming, and modeling data with the goal of discovering useful information, generating insights, and conclusions to support decision-making

The goal is to uncover patterns, relationships, and trends in data that can be used to inform decision-making or solve problems
Data analysis can be descriptive, which involves summarizing and visualizing data, or inferential, which involves using statistical methods to make inferences about a population based on a sample
Data analysis is important because it allows organizations to make data-driven decisions and solve complex problems more effectively
The data analysis process typically involves several steps, including data preparation, exploratory data analysis, hypothesis testing, modeling, and interpretation and communication of results.

Data Visualization

The process of representing data in a graphical or pictorial format, such as charts, graphs, or maps, using Power BI to make it easier to understand and communicate

Data visualization making complex data more accessible and understandable to users, by presenting it in a clear and visually appealing way in many forms like bar charts, line graphs, scatterplots, heatmaps, and interactive dashboards.
The data visualization process involves several steps, including selecting the appropriate visualization type, designing the visualization, and refining the visualization based on feedback

Video Presentation

Business Intelligence, commonly referred to as BI, is a technology-based approach to analyze data and present information to help businesses make informed decisions. BI can be considered a crucial tool for keeping businesses updated and informed. By leveraging BI, companies can gain insights into their data and identify patterns and trends that can help them improve their operations, reduce costs, and enhance overall performance. To learn more about BI and its potential benefits for businesses, watch the video.

Video from TechTarget about What is Business Intelligence (BI) and Why is it Important?

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Executive Management Dashboard

High-level overview of a company's key performance metrics, designed specifically for senior executives and other decision-makers. The dashboard typically displays data in the form of charts, graphs, and other visualizations, and may include metrics related to sales, revenue, customer satisfaction, employee performance, and more. The purpose of the executive management dashboard is to provide real-time visibility into the company's performance, enabling executives to make informed decisions based on accurate, up-to-date information. By presenting key data in an easy-to-understand format, the executive management dashboard helps executives identify trends, spot potential problems, and take action to address them.

Operational Dashboard

Overview of a company's day-to-day operations, designed for managers and other operational staff. The dashboard typically displays data in the form of charts, graphs, and other visualizations, and may include metrics related to inventory levels, production rates, order status, customer support tickets, and more. The purpose of the operational dashboard is to provide a quick and easy way to monitor and manage operations, enabling managers to identify issues and take corrective action as needed. By presenting key data in an easy-to-understand format, the operational dashboard helps managers to stay informed, make data-driven decisions, and keep operations running smoothly.

Sales Dashboard

Overview of a company's sales performance, designed for sales managers and other sales staff. The dashboard typically displays data in the form of charts, graphs, and other visualizations, and may include metrics related to sales revenue, customer acquisition, pipeline status, and more. The purpose of the sales dashboard is to provide a quick and easy way to monitor and manage sales activities, enabling managers to identify trends, track progress against targets, and take corrective action as needed. By presenting key data in an easy-to-understand format, the sales dashboard helps sales teams to stay focused on their goals, make data-driven decisions, and optimize their sales processes.s

Procurement Dashboard

Overview of a company's procurement transactions, designed for procurement managers and other procurement staff. The dashboard displays data in the form of charts, graphs, and other visualizations, and include metrics related to purchase orders, invoices, supplier performance, and more. The purpose of the procurement transaction dashboard is to provide a quick and easy way to monitor and manage procurement activities, enabling managers to identify issues and take corrective action as needed. By presenting key data in an easy-to-understand format, the procurement transaction dashboard helps procurement teams to stay informed, make data-driven decisions, and optimize their procurement processes.

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