This is the planning stage where you decide what data to collect, how to collect it, and what you want to do with it.
Developing an effective data strategy can be challenging due to the rapidly evolving nature of technology, changing business needs, and the volume and complexity of available data.
Bomisco is a specialist in DataOps for enterprise teams, experienced with large scale data delivery and trusted by organisations to deliver mission critical data pipelines.
Bomisco can bring expertise and best practices to the table, as well as a fresh perspective, to help an organization develop a more effective data strategy.
This is the stage where you bring the data into the pipeline. This can be done using various methods such as APIs, file uploads, or database connections.
Collecting data from various sources can be challenging, as different sources may use different formats or protocols, may be located in different geographic regions, and may require complex authentication and authorization mechanisms.
We create automated and repeatable processes for ingesting data from multiple sources, ensuring that data is collected consistently and accurately. We can also implement error handling and logging mechanisms to identify and resolve data ingestion issues quickly.
Bomisco can offer more robust and scalable data ingestion solutions, including specialized tools and technologies, to handle a variety of data sources and formats.
This is the stage where you extract the data you need from the source data. This could include filtering or selecting specific data fields, or aggregating data from multiple sources.
Extracting data from source systems can be challenging due to the sheer volume of data, the need to handle complex queries, and the need to ensure data quality and integrity.
We extract data from different types of sources, including structured, semi-structured, and unstructured data. They can also ensure that data is extracted in a consistent and repeatable manner, and that any data quality issues are addressed.
Bomisco can provide more sophisticated and efficient data extraction methods, such as change data capture (CDC) or data virtualization, to reduce the impact on source systems and enable real-time data access.
This is the stage where you prepare the data for analysis. This could involve cleaning, deduplication, or joining the data with other sources.
Storing and processing data in a staging area can be challenging due to the need to handle large volumes of data, ensure data quality and integrity, and optimize the processing of the data.
We establish an efficient and reliable data staging process, allowing data to be processed and transformed in a consistent manner. This helps to avoid data quality issues and ensures that the data is ready for further processing.
Bomisco can handle the complex and time-consuming process of building and maintaining data staging environments, which requires significant technical expertise and resources.
This is the stage where you transform the data into a format that is suitable for analysis. This could include converting data types, aggregating data, or enriching the data with additional information.
We automate the process of transforming data into a format that is suitable for analysis. They can also establish and maintain a robust data validation process, which helps to ensure that the data is accurate and reliable.
Bomisco can use advanced data processing techniques and tools, such as Matillion and Python, to accelerate and automate data transformation processes, while also ensuring data quality and consistency.
This is the stage where you load the transformed data into a data warehouse like Snowflake, DataBricks or BigQuery or other storage system.
We create automated and repeatable processes for loading data into a data warehouse. This helps to ensure that data is loaded consistently and accurately, and that any issues are identified and addressed quickly.
Bomisco can offer more efficient and scalable data loading processes, such as bulk loading or streaming, to minimize downtime and ensure data accuracy.
This is the stage where the data is stored in a way that makes it easy to access and analyze. This could involve structuring the data in a way that allows for fast queries, indexing, or partitioning the data.
We establish an efficient and reliable data warehousing process. They can also ensure that the data is stored securely and that access is restricted to authorized personnel.
Bomisco can provide more advanced and specialized data warehousing solutions, such as cloud-based data warehousing, to handle the growing volume and complexity of data.
This is the stage where you create visualizations or business intelligence reports to make the data understandable and useful. This could include charts, graphs, or dashboards.
We ceate automated and repeatable processes for visualising data and generating reports. They can also ensure that the data is presented in a meaningful and easy-to-understand format, allowing business users to make informed decisions.
Bomisco can provide more sophisticated and user-friendly data visualization or BI solutions, including customized dashboards and reports, to enable better data-driven decision-making.
