Data Management & Warehousing
You have mission critical data that you need to manage in an effective and efficient manner.
Our expertise will help with bespoke solutions that meets your needs today and tomorrow.
Data Management is foundational to long-term success
Our team of experts will assess your data management practices against best-in-class standards and help build a foundational piece for your organization’s long term success
Data Management Overview
Data management involves capturing, processing and analyzing data to make informed business decisions
Data Extraction
Identifying all data sources and establishing consistent processes to extract data for transformation
Data Transformation
Improving the quality of the data through a series of repeatable activities based on defined business rules
Data Warehousing
Deploying hardware and software solutions for cost effective storage and efficient analysis
Data Governance
Overarching policies that dictate how data is cataloged, accessed and maintained to ensure security and compliance with regulations
Data Extraction
Your organization will have various data sources. We will help integrate it all.
The first step of data management is accessing all data sources within your organization. Some of them will be easy to capture and extract, while others will require specific permissions in order to access. Whether you have two data sources or twenty, we will help extract it all to maximize the effectiveness of your data analytics efforts
Data Sources
- Spreadsheets
- Websites, APIs, Logs
- Databases
- Unstructured Files (contracts, SOPs, Images)
Data Extraction Process
- Source Identification
- Establish Connection
- Extraction Execution
Data Transformation
Data transformation is the critical step that allows you to perform critical analytics and machine learning activities
Transformation involves a series of steps that are either manual or automated to turn data into a usable format. This steps involves various techniques that are proven to be effective in solving even the most complex and difficult to use data formats and turns them into usable data
Transformation Techniques
- Correcting missing & incorrect data
- Converting unstructured data to structured data
- Applying business rules
- Joining and merging data
Data Transformation Process
- Conduct a backup of raw data
- Establish & document transformation rules
- Execute Transformation
Data Warehousing
Data Warehousing is the final step of ensuring that data is stored in an analytical database that allows quick and efficient retrieval of your data
After data from multiple sources is transformed and cleansed to be used for analytics, it is important to store the data in an analytical database which can either be on the cloud or on-premise. Each option has its benefits and drawbacks and the right choice will be based on your organization’s current & future needs.
Warehouse Considerations
- Cloud vs On-Premise
- Having a staging database to mimic warehouse structure
- Query Optimization
- Denormalizing, Indexing, & Sorting