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List of Services
List of Services
- Data Integration
Scope: Integration of data from multiple sources (files, databases, APIs) into a unified system.
Scope: Integration of data from multiple sources (files, databases, APIs) into a unified system.
Approach: We will assess your current data sources and create a streamlined process to consolidate data into a central repository, ensuring compatibility and consistency.
Approach: We will assess your current data sources and create a streamlined process to consolidate data into a central repository, ensuring compatibility and consistency.
- Data Cleansing
Scope: Identification and correction of errors, inconsistencies, and redundancies in your data.
Scope: Identification and correction of errors, inconsistencies, and redundancies in your data.
Approach: Utilizing advanced techniques to standardize data formats, remove duplicates, and fill in missing values, ensuring the highest quality of data.
Approach: Utilizing advanced techniques to standardize data formats, remove duplicates, and fill in missing values, ensuring the highest quality of data.
- Data Quality Maintenance
Scope: Continuous monitoring and management of data quality.
Scope: Continuous monitoring and management of data quality.
Approach: Implementing automated validation rules and checks to maintain data integrity over time, providing regular reports on data health.
Approach: Implementing automated validation rules and checks to maintain data integrity over time, providing regular reports on data health.
- Data Analysis
Scope: Comprehensive analysis of your data to extract actionable insights.
Scope: Comprehensive analysis of your data to extract actionable insights.
Approach: Using statistical methods and analytical tools to identify trends, patterns, and correlations that can inform strategic decisions.
Approach: Using statistical methods and analytical tools to identify trends, patterns, and correlations that can inform strategic decisions.
- Data Visualization
Scope: Creation of intuitive, interactive dashboards and reports.
Scope: Creation of intuitive, interactive dashboards and reports.
Approach: Designing visual representations of your data that are easy to understand and tailored to your specific needs, using tools like Power BI, Looker, Tableau, or similar platforms.
Approach: Designing visual representations of your data that are easy to understand and tailored to your specific needs, using tools like Power BI, Looker, Tableau, or similar platforms.
Tools We Use
Tools We Use
Here’s a glimpse into the key tools we use
1. Data Integration Tools
1. Data Integration Tools
Queries: Using custom queries or Power Query to integrate data.
SQL & ETL/ELT Pipelines: Using custom SQL scripts and ETL/ELT (Extract, Transform, Load) processes to integrate and migrate data between systems.
Python (with Pandas, PySpark, NumPy): For custom data manipulation and integration tasks, particularly when handling complex data transformations.
2. Data Cleansing & Quality Tools
2. Data Cleansing & Quality Tools
Power Query/Custom Formulas: for cleaning and structuring raw data, ensuring it’s ready for analysis.
Data Validation Libraries (Python): Utilized for automated data quality checks to ensure data accuracy and reliability, as well as for cleaning and structuring raw data, ensuring it’s ready for analysis.
Jupyter Notebooks: A web-based interactive computing environment that helps us streamline workflows and present data analysis results in an accessible and shareable format.
3. Data Analysis Tools
3. Data Analysis Tools
Excel/Google Spreadsheets: For quick data analysis, modeling, and generating simple reports, particularly useful for smaller datasets.
Python (Pandas, NumPy, Scikit-learn): For in-depth data analysis, including statistical analysis, machine learning, and predictive modeling.
4. Data Visualization Tools
4. Data Visualization Tools
Excel/Google Spreadsheets: To create interactive, visually appealing dashboards.
Power BI/Looker: For building dynamic reports and dashboards, providing actionable insights through real-time data visualization.
Matplotlib/Seaborn (Python): For creating custom, detailed visualizations that are integrated into reports and presentations.
5. Storages
5. Storages
Cloud Storage: Google Drive, Onedrive, BigQuery, etc.
PostgreSQL/MySQL: For managing relational databases, ensuring your data is organized and easily accessible for analysis.
Package Offered
Package Offered
One-time Project
One-time Project
(Starts from: RM300)
(Starts from: RM300)
For clients seeking a specific, standalone solution, we offer one-time projects. This option is ideal for startups looking to address a particular data challenge, such as initial data integration, or the creation of a custom data visualization dashboard. With this option, we deliver a complete, tailored solution with clear timelines and defined deliverables, ensuring your immediate data needs are met efficiently.
On-going Project
On-going Project
(Starts from: RM1,300 per month)
(Starts from: RM1,300 per month)
For startups that require continuous data management and support, we offer ongoing monthly services. This option is designed to ensure the consistent quality, integration, and analysis of your data over time. With a flexible subscription model, we provide regular updates, maintenance, and insights, allowing your business to make data-driven decisions with confidence. This approach is perfect for growing companies that need reliable, long-term data solutions that scale with their needs.
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