What Your Data Platform Really Costs
Traditional entity matching methods are labor-intensive and error-prone, prompting a shift towards automation for substantial efficiency gains.Automation in entity matching yields a remarkable 70% plus reduction in costs and a 50% plus reduction in error rates, fostering streamlined operations The strategic advantage of automated entity matching extends beyond cost reduction. Automation also minimizes indirect expenses linked to delays and inaccuracies, empowering businesses to leverage data effectively for growth.
Integrate your CRM with other tools
Lorem ipsum dolor sit amet, consectetur adipiscing elit lobortis arcu enim urna adipiscing praesent velit viverra sit semper lorem eu cursus vel hendrerit elementum morbi curabitur etiam nibh justo, lorem aliquet donec sed sit mi dignissim at ante massa mattis.
- Neque sodales ut etiam sit amet nisl purus non tellus orci ac auctor
- Adipiscing elit ut aliquam purus sit amet viverra suspendisse potenti
- Mauris commodo quis imperdiet massa tincidunt nunc pulvinar
- Adipiscing elit ut aliquam purus sit amet viverra suspendisse potenti
How to connect your integrations to your CRM platform?
Vitae congue eu consequat ac felis placerat vestibulum lectus mauris ultrices cursus sit amet dictum sit amet justo donec enim diam porttitor lacus luctus accumsan tortor posuere praesent tristique magna sit amet purus gravida quis blandit turpis.
Techbit is the next-gen CRM platform designed for modern sales teams
At risus viverra adipiscing at in tellus integer feugiat nisl pretium fusce id velit ut tortor sagittis orci a scelerisque purus semper eget at lectus urna duis convallis. porta nibh venenatis cras sed felis eget neque laoreet suspendisse interdum consectetur libero id faucibus nisl donec pretium vulputate sapien nec sagittis aliquam nunc lobortis mattis aliquam faucibus purus in.
- Neque sodales ut etiam sit amet nisl purus non tellus orci ac auctor
- Adipiscing elit ut aliquam purus sit amet viverra suspendisse potenti venenatis
- Mauris commodo quis imperdiet massa at in tincidunt nunc pulvinar
- Adipiscing elit ut aliquam purus sit amet viverra suspendisse potenti consectetur
Why using the right CRM can make your team close more sales?
Nisi quis eleifend quam adipiscing vitae aliquet bibendum enim facilisis gravida neque. Velit euismod in pellentesque massa placerat volutpat lacus laoreet non curabitur gravida odio aenean sed adipiscing diam donec adipiscing tristique risus. amet est placerat.
“Nisi quis eleifend quam adipiscing vitae aliquet bibendum enim facilisis gravida neque velit euismod in pellentesque massa placerat.”
What other features would you like to see in our product?
Eget lorem dolor sed viverra ipsum nunc aliquet bibendum felis donec et odio pellentesque diam volutpat commodo sed egestas aliquam sem fringilla ut morbi tincidunt augue interdum velit euismod eu tincidunt tortor aliquam nulla facilisi aenean sed adipiscing diam donec adipiscing ut lectus arcu bibendum at varius vel pharetra nibh venenatis cras sed felis eget.
- Discover how automated entity resolution reduces costs by 70% and errors by 50%. Learn how ADI's AI-driven platform streamlines data matching for enhanced efficiency.Traditional entity matching methods are labor-intensive and error-prone, prompting a shift towards automation for substantial efficiency gains.
- Automation in entity matching yields a remarkable 70% plus reduction in costs and a 50% plus reduction in error rates, fostering streamlined operations
- The strategic advantage of automated entity matching extends beyond cost reduction. Automation also minimizes indirect expenses linked to delays and inaccuracies, empowering businesses to leverage data effectively for growth.
The shift from traditional entity resolution processes to automated methods marks a pivotal evolution in data management and analysis practices. This blog explores the fundamental differences between these approaches, highlighting the enhanced efficiency, and the significant time and cost savings automation brings.
Traditional Entity Resolution Processes
Traditionally, entity resolution has been heavily reliant on manual processes with inhouse developed tools and off-the-shelf solutions. These processes necessitate extensive human involvement in data entry, data preparation, algorithm development, data verification, and reconciliation processes. Such methods are not only labor-intensive but also prone to a high frequency of errors. As the volume and complexity of data increase, the scalability of manual methods faces significant challenges. This limitation results in proportional increases in costs, ability to scale and the time required for effective data management, delaying the generation of actionable insights and hampering prompt decision-making.
Automated Entity Resolution with ADI
Automated Data Inc. (ADI) revolutionizes entity resolution by harnessing the power of automation to simplify the matching process. The platform leverages artificial intelligence to replicate what a data scientist does when resolving entities and matching data. Under the hood, we use large language models, machine learning and proprietary algorithms to semantically profile data, and then optimize matching based on semantic labels.
In a side-by-side comparison, the manual process for entity resolution was cumbersome, and involved a large number of steps. Users had to peruse documentation, examine data and structures, comprehend how data should be linked, write code (including normalizers and matching algorithms), troubleshoot issues, execute the process, and evaluate the outcomes.
In contrast, ADI simplified this workflow to a few simple steps. Users simply connect to their data sources, initiate the process with a click, and then evaluate the matched data. In addition, the platform includes all the required human-in-the-loop workflows for exception management for times when changes are required. One shot benchmark tests have demonstrated that ADI achieves better than 90% precision with zero fine tuning.
The cost benefits of using ADI are substantial. Compared to existing practices and competing platforms, ADI reduces the TCO by more than 70% between license fees, labor costs and other overhead. In a test with ADI, versus a group of data professionals who independently completed an entity resolution project across 15 data sources, ADI achieved an 85% reduction in time spent onboarding, profiling and matching data. Furthermore, the accuracy and consistency of ADI's processing minimized error rates by up to 50% which are typically caused by manual processes, cutting down the expenses and time required for data corrections and mitigating their operational repercussions. By freeing up data teams from manual entity matching tasks, they can devote their efforts to tackling larger, more complex problems and extracting valuable insights from their data.
The current transition in entity resolution marks a significant turning point from labor-intensive methods to streamlined automation. This shift represents more than just efficiency gains; it signifies a fundamental revolution in data handling, promising substantial savings in both time and costs.
Gain access to accurate and user-friendly solutions for handling large datasets and generating actionable insights. See how ADI is revolutionizing entity resolution, through automated matching pipelines, semantic linking and enhancements, and streamlined data management.
Contact info@automated-data.io or request a demo to learn more.
