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Who are we?

Omadli Group: Your Trusted Partner in Data Analytics
Welcome to Omadli Group, a certified woman-owned business (WBE), where we help businesses like yours navigate the complex world of data analytics. Our core values of Excellence, Service, and Integrity guide us in everything we do, ensuring that we deliver top-notch service and work of the highest quality. Our mission is to equip you with valuable insights that empower you to make informed decisions and drive positive outcomes.
Our Leadership

Zulfiya Forsythe CEO of Omadli Group

Zulfiya Forsythe is the CEO of Omadli Group, a seasoned CPA and Data Analyst with over a decade of experience in the healthcare, hospitality, and real estate industries. Zulfiya began her data analytics journey as a business system analyst, determined to streamline lengthy, repetitive monthly processes into efficient reporting systems. She was eager to develop skills that would enable her to extract, manipulate, and analyze data, and transform it into meaningful storytelling.

Coming from a financial background, Zulfiya understood the importance of accuracy and time management in the marathon stretch of monthly close procedures. This experience served as the fuel to develop solutions that saved time, while also providing more accurate data with a focus on analysis and decision-making.

Fast-forward to today, Zulfiya now leads her own full-service data analytics firm, leveraging her diverse industry experience to provide clients with customized solutions that optimize their operations, improve performance, and achieve their goals. Her commitment to providing clients with valuable insights and data-driven solutions has made her a sought-after expert in the industry. Under her leadership, Omadli Group continues to deliver excellence, service, and integrity in everything we do, ensuring that we help our clients navigate the complex world of data analytics and achieve their business goals.

Services

Data Warehouse and ETL Strategies

Our approach to creating cloud-based data warehouses, particularly using AWS Redshift, is thorough and detailed. We begin by understanding your specific requirements, including data sources, volume, and the types of queries the warehouse needs to support. We then set up an AWS Redshift cluster, choosing the right size and type of nodes to ensure optimal performance and cost-efficiency. After establishing connections to your data sources, we use AWS data migration tools to transfer existing data into Redshift. We structure this data into a schema that supports efficient querying and analysis, implementing indexing and other optimization strategies to speed up data retrieval.

Our ETL (Extract, Transform, Load) strategies are designed to ensure the accuracy and reliability of your data. We carefully select and retrieve data from trustworthy sources, clean and standardize it, and implement checks to verify that all data has been accurately transferred. We also conduct periodic audits and maintain detailed logs to track data changes and address any discrepancies immediately.

What sets our approach apart is our commitment to excellence, service, and integrity. We deeply analyze your business model to provide customized solutions that leverage the most suitable innovations and automation. We also place a strong emphasis on data integrity, ensuring that the data managed through our ETL processes is not only accurate and reliable but also consistently aligns with compliance standards.

Data Mining and Data Visualization

We use a variety of statistical and machine learning algorithms, depending on the specific needs and data types of each project. For example, we might use linear regression to forecast financial outcomes, logistic regression for binary classification tasks, or decision trees for classifying customers into different segments.

To ensure that the insights extracted from data mining are actionable, we begin by understanding your business objectives and the specific challenges you face. We then utilize advanced analytics and machine learning techniques to extract these insights, ensuring they are not only accurate but also meaningful and directly applicable to your operational context.

Our data visualization format for non-technical users is designed to make complex data easy to understand. We use simple and familiar visuals, interactive features, clear and uncluttered design, and brief explanations or tooltips to guide users through the information.

What sets our approach apart is our commitment to tailoring our methods to meet each client’s unique needs, ensuring that our data processes are thorough and adhere to the highest standards. Our visualizations are designed to be clear and actionable, making it easy for clients to understand and use the insights we provide.

AI and Machine Learning

We determine which historical data is relevant for making future predictions by analyzing data relevance, quality, and completeness. We identify the key variables that have historically influenced the outcomes we aim to predict, ensuring these variables are likely to continue affecting future results.

We have applied NLP (natural language processing) and similar technology techniques in various industries. For example, in e-commerce, we’ve used NLP to sift through vast amounts of customer reviews, social media interactions, and support tickets to identify trends, sentiment, and customer needs. In healthcare, we’ve used NLP to extract and synthesize information from radiological reports, clinical notes, and patient histories, helping in accurately cataloging instances and details of fractures.

To ensure the reliability of predictions made through AI and machine learning, we use high-quality, relevant data to train our models, continuously test and validate our models against new data, and monitor the performance of our models over time to catch and correct any drifts or biases that might occur as conditions change.

What sets our approach apart is our commitment to excellence, service, and integrity. We utilize state-of-the-art algorithms and continually update our methodologies to stay at the forefront of technological advancements. We prioritize understanding our clients’ unique needs and tailoring our solutions to provide maximum value, ensuring responsive and supportive interactions throughout our engagement.

Data Analysis and Testing

In our data analysis and validation processes, we employ a blend of traditional methodologies and modern frameworks, complemented by advanced business intelligence and data analytics tools. We conduct thorough assessments to identify and rectify issues such as missing values, outliers, and errors, ensuring data accuracy, completeness, and consistency. We use leveraging methodologies like statistical analysis, machine learning, and cross-validation to validate insights, ensuring reliability and generalizability across different data samples.

What sets our approach apart is our commitment to excellence, service, and integrity. We use the latest and most effective analysis methods to ensure top-quality results. Our services are customized to meet each client’s specific needs, providing clear and actionable insights that directly contribute to their business goals.

Data Optimization and Business Process Improvement

We assess a client’s data processing and retrieval systems through the comprehensive analysis of their infrastructure, workflows, and performance metrics. By conducting thorough evaluations, we identify inefficiencies, bottlenecks, and areas for improvement, enabling us to propose tailored optimization strategies that maximize efficiency and enhance data accessibility.

Our business process improvement solutions are meticulously aligned with our client’s overarching goals by focusing on enhancing efficiency, cutting costs, and increasing profitability. Through tailored strategies and collaborative approaches, we ensure that our innovative solutions directly address our clients’ specific objectives, enabling them to achieve their desired outcomes with precision and effectiveness.

What sets our approach apart is our commitment to excellence, service, and integrity. We deliver excellence by leveraging cutting-edge technologies and innovative methods to optimize data handling and streamline business processes, ensuring peak performance. Our service is tailored to the unique needs of each client, with a focus on providing solutions that are both practical and transformative.

Project Management

We follow agile project management methodologies, such as Scrum or Kanban, tailored to suit the specific needs of each project. Our approach emphasizes flexibility, collaboration, and iterative development to ensure efficient project delivery while accommodating evolving requirements and priorities.

To ensure effective communication and collaboration throughout a project’s lifecycle, we use a combination of regular meetings, detailed progress reports, and collaboration tools like Slack, Teams, and Asana. Additionally, we provide detailed documentation to keep everyone informed and aligned on project goals and updates.

What sets our approach apart is our commitment to excellence, service, and integrity. We uphold excellence by adopting best practices and continuously refining our methodologies to deliver superior results. Our personalized service tailors project management solutions to meet the unique needs and goals of each client, ensuring satisfaction and effective results.

In conclusion, Omadli Group is your trusted partner in data analytics. We are committed to helping you navigate the complex world of data, providing you with valuable insights that empower you to make informed decisions and drive positive outcomes. Our core values of Excellence, Service, and Integrity guide us in everything we do, ensuring that we deliver top-notch service and work of the highest quality. Contact us today to learn more about how we can help you achieve your business goals.

Technology Stack

What we use?

Our technology stack is diverse and robust, enabling us to deliver top-notch data analytics services to our clients. Here are some of the technologies we use:

Cloud Services and Database Management:

  • AWS Comprehensive suite of cloud services: RedShift, Athena, S3, Databricks, DynamoDB
  • Azure Cloud Services: Azure SQL, Azure Blob Storage, Azure Synapse, Azure Data Factory
  • SQL Server: Microsoft’s robust RDBMS solution.
  • MySQL: An open-source relational database management system (RDBMS).
  • PostgreSQL: A powerful, open-source object-relational database system.
  • Salesforce: A customer relationship management solution that brings companies and customers together.
  • Snowflake: A cloud-based data warehousing platform that offers flexible and scalable data storage and analytics.

Programming Languages and Libraries:

  • Python: A high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability.
  • Jupyter: An open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
  • R Code: A programming language and free software environment for statistical computing and graphics.
  • TensorFlow: An open-source software library for machine learning and artificial intelligence.
  • PyTorch: Dynamic machine learning framework by Facebook.
  • Amazon Sagemaker: AWS’s end-to-end machine learning platform.
  • Amazon Bedrock: AWS’s service that makes it easy to build and scale AI applications using powerful pre-trained models from AWS and other top AI providers.
  • FastAPI: tool for quickly creating APIs with Python that is easy to use and very fast
  • Flask: Lightweight Python web framework.
  • Django: High-level Python web framework.
  • Scikit Learn: Python machine learning library.
  • NumPy: Numerical computing library for Python.

Data Visualization and Business Intelligence:

  • Power BI: A suite of business analytics tools that deliver insights throughout your organization.
  • Tableau: A data visualization software that focuses on business intelligence.
  • Amazon QuickSight: A fast, cloud-powered business intelligence service that makes it easy to visualize and share insights from your data.
  • SSRS: Microsoft’s report generation and delivery tool.
  • Matplotlib: Python plotting library.
  • Excel: Microsoft’s spreadsheet software.

ETL (Extract, Transform, Load) Tools:

  • Azure Data Factory: Microsoft’s cloud-based data integration service.
  • SSIS: Microsoft’s data integration platform.
  • AWS Glue: AWS’s fully managed ETL service.
  • Informatica PowerCenter: Enterprise-grade ETL solution.

Automation Tools:

  • Beautiful Soup: Python library for web scraping.
  • Selenium: Web automation and testing framework.
  • Scrapy: Python framework for web crawling.
  • Microsoft Flow: Cloud-based workflow automation platform.

What we use?

Our technology stack is diverse and robust, enabling us to deliver top-notch data analytics services to our clients. Here are some of the technologies we use:

Cloud Services and DevOps:

  • DevOps AWS: A set of practices that combines software development (Dev) and IT operations (Ops) to shorten the systems development life cycle while delivering features, fixes, and updates frequently and reliably.
  • AWS Comprehensive suite of cloud services: RedShift, Athena, S3, Databricks
  • Azure DevOps: A software as a service (SaaS) platform from Microsoft that provides an end-to-end DevOps toolchain for developing and deploying software.

Cloud Services and Database Management:

  • MySQL: An open-source relational database management system (RDBMS).
  • PostgreSQL: A powerful, open-source object-relational database system.
  • Salesforce: A customer relationship management solution that brings companies and customers together.
  • Snowflake: A cloud-based data warehousing platform that offers flexible and scalable data storage and analytics.

Programming Languages and Libraries:

  • Jupyter: An open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
  • R Code: A programming language and free software environment for statistical computing and graphics.
  • Python: A high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability.
  • TensorFlow: An open-source software library for machine learning and artificial intelligence.

Data Visualization and Business Intelligence:

  • PowerBI: A suite of business analytics tools that deliver insights throughout your organization.
  • Tableau: A data visualization software that focuses on business intelligence.
  • Amazon QuickSight: A fast, cloud-powered business intelligence service that makes it easy to visualize and share insights from your data.

Contact Information

Contact Information

We invite you to connect with us and learn more about how Omadli Group can help your business thrive in today’s data-driven world. Here is our contact information:

Phone Number: 617 680 1682 Email: info@omadligroup.com Address: 1 Washington Mall #1417, Boston, MA 02108