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At first glance, data aggregation & consolidation may seem like a simple task, but it is more challenging than most companies imagine. It is also one of the most critical aspects of any data analytics or data visualization project. Get it wrong, and your data can be misleading, or worse, it might be rendered almost worthless.
Data aggregation is the gathering, utilizing, and presenting of data to achieve specific business objectives. Data aggregation is often difficult because the data is stored in different formats and requires specialized knowledge.
Data consolidation is the collection and integration of data from multiple sources into a single destination. Different data sources are put together or consolidated into a single data store during this process.
Data41 provides all the services you’ll need to bring data together and get the most value.
Remove incorrect, corrupted, incorrectly formatted, or incomplete data.
Eliminate duplicate or repeating data and improve storage utilization
Appending other data sources to enhance collected data and provide context.
Discover, interpret, and communicate significant patterns in data.
Establish data governance policies to harmonize data effectively.
Model data to produce high-quality, consistent, structured data for running business applications, forecasting, and for use and analysis by business managers in planning.
Use data from business process execution to visualize work-in-process and work completed in real-time to provide the necessary information for sound decision making.
Consolidate operational data to prepare for reviews and financial reporting. Aggregate lines of business to prepare companywide reporting and for closing books.
Streamline operations, make critical business decisions, and solve business problems using data analysis, statistical models, and other quantitative methods.
Whether you need a one-time consolidation or a lasting solution, our data expertise and partner’s software enable Data41 to take on your largest data aggregation and consolidation challenges.
Data41 connects all your data sources and extracts the data required data into a single, accurate source to support your data analytics.
Data41’s teams of architects, designers, and developers have decades of experience, and our methodology, architecture, and outcome-based approach streamlines our implementations.
Data41 supports industry standard encryption and security policies while fully complying with the General Data Protection Regulation (GDPR).
Data41’s team of specialists delivers your organization's expertise to maintain analytical applications at economical rates, freeing your team to focus on more strategic initiatives.
Bringing together data from everywhere in your organization ensures a complete picture and enhances the ability to use ML & AI technologies.
Quick access to data helps make better decisions and improve product services and communications.
To perform financial close and consolidation accurately and efficiently requires purpose-built models and methods designed for the task.
Aggregated data can help comply with regulatory requirements such as GAAP, IFRS, and GDPR.
Data aggregation compiles information from disparate databases, legacy systems, excel spreadsheets and workbooks, and other data sources to combine the data into one dataset.
An example of data aggregation would be gathering data about sales performance from individual salespeople, CRMs, and financial systems to assemble a dataset that can be used for forecasting
Data aggregation helps summarize data from disparate data sources to increase the richness and value of the information.
Data consolidation is the collection and integration of data from multiple locations into a single data source.
An example of data consolidation would be combining budgets or financial results from organizational departments into an organization-wide budget or financial statement.
Data consolidation is important in helping management see the performance of an entire organization by providing a top-level view of all available data.