Top 10 things you must have in your patent analysis toolkit
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Patent professionals navigate massive datasets in the intellectual property database to generate insights that can influence business strategies and guide product development. While tools for data visualization have proved to be extremely useful, single-click charts generally present surface-level information and cannot provide the depth and sophistication required to conduct a thorough patent analysis. Similarly, ready-to-use dashboards can provide general insights but cannot adapt to complex analytical needs.
There’s a growing demand for tools that offer versatility, sophisticated analytics, and user-driven customization, allowing strategic IP choices with accuracy and confidence.
Standard BI tools offer flexibility but fall short
Patent data is complicated, with many interconnected relationships that are hard to interpret and capture using conventional business intelligence (BI) tools. These tools excel at structured and linear data analysis. However, they fall short in patent analysis – an interconnected web of data points including citations, patent families, legal statuses, and competitive maps.
BI software also requires extensive data manipulation to adjust patent data to their platform, resulting in unnecessary work for professionals who require instant data access. As the complexity of patents increases due to technological advancements and growing competition, the need for a more sophisticated, flexible analytics solution becomes essential. Patent analytics platforms like PatSeer tackle this issue by providing user-friendly and customizable tools to manage the distinctive characteristics associated with patents. They allow users to analyze data dynamically and adapt it to meet requirements for complex research patent research.
Types of Tools needed for Directed Patent Analysis
To support high-risk decision-making based on data, patent professionals require access to tools that let them analyze data in a scalable, precise, and revealing manner. Here is a brief overview of the most essential tools that allow for directed patent analysis:
Co-occurrence Matrices
Co-occurrence matrices help study the relationships between assignees, terms, or inventors and reveal undiscovered connections and potential innovations. They can help you visualize connections and emerging themes within the patent landscape for identifying patterns and technological gaps.
Customizable Dashboards
Contrary to static, universally-fit-all dashboards, custom dashboards allow experts to personalize their analytics view to suit specific research requirements. This flexibility is crucial in conducting specific analysis, like investigating new technologies or analyzing competitors’ patents.
Multidimensional charts with robust Nested Filtering
Multidimensional charting can be extremely powerful when you have the flexibility to decide what each layer of the chart includes. When paired with highly customizable filtering options, it can pack more information and allow users to draw deeper insights. Nested filtering enables users to improve their understanding across multiple dimensions like the technology area, geographic location, and application domains.
2D Spatial Maps for Technology Landscapes
2D spatial maps provide a visually appealing landscape of technological clusters and competitive positioning. In contrast to conventional maps, which can display automatically generated topic clusters, platforms like PatSeer offer maps with configurable features that permit users to plot custom classified data on these maps. This flexibility ensures that technology areas or market segments displayed in the maps are more relevant.
Enhanced Custom metadata types
Directed patent analysis requires tools that provide enhanced data organization, including the capability to design custom fields and hierarchal categories. It allows data organization according to their classifications, which results in more effective and meaningful analysis.
Thesaurus support
Thesauruses allows professionals to combine values and synonyms of complicated terminologies to ensure no pertinent information is missed because of minor wording differences. This feature is beneficial when analyzing data from various sources, which may employ different terms for the same concepts.
Qualitative Metrics
Patent analytics platforms offer advanced metrics like quality score, originality, and generality. These metrics go above and beyond simple counts and provide valuable insight into the significance and distinctiveness of patents. Allowing the user to decide how they want to use these metrics in their charts and graphs can make for an extremely powerful directed patent analysis system.
Seamless Sharing and Customized Insights Delivery
Sharing information in a customized format is essential to effective collaboration and communication. Platforms that allow seamless sharing enable teams to give specific insights to the people they are working with, whether in a presentation format or as an interactive report.
Integration of Supplementary Data Points Beyond Patents
To get a complete picture of the IP landscape, including additional information points, like SEPs (Standard Essential Patents) and oppositions and litigations is critical. Combining these data points with patent data provides an exhaustive overview of the legal, technological, and competitive landscape.
Flexible Chart Types and Customization Options
The flexibility of charts, colors, and options for customization allows professionals to present information in the most effective and visually appealing method. With advanced analytics platforms, users do not have to export data into Excel for further visualization, reducing the possibility of losing data.
AI-Powered Search for Dataset Creation
AI-powered search tools provide the most efficient method to create relevant data sets in a short time with speed and precision. Combining AI-driven search with Boolean operators, experts can quickly develop refined, targeted data sets that allow for more targeted analysis. This combination of AI and Boolean technology makes the task easier, allowing for rapid and accurate creation of landscapes.
AI also holds significant potential to improve patent analysis by presenting complex information automatically. AI can extract the most relevant findings from vast data, highlighting key trends, competitive positioning, and the latest technologies. This will allow professionals to get actionable insights without wasting time sifting through data.
Summing up
Patent analysis demands flexibility, precision, and customization–qualities standard BI tools lack. As the complexity of patents continues to increase, directed analysis is essential for IP professionals aiming to make informed, data-driven strategic decision-making. Platforms like PatSeer provide professionals with a complete set of tools specifically designed to meet the complex requirements of patent data analysis.
The future of patent analysis lies in user-friendly, flexible platforms that incorporate AI to simplify the analysis process, which makes IP decisions a data-driven process. Using sophisticated technology and flexible analysis, patent analysis experts can confidently make smart IP decisions, increasing the value of their data while being ahead of the curve in a competitive market.
PatSeer, a patent intelligence platform, is designed to simplify how professionals navigate the complexities of Patent Analysis. Boasting a vast database of 160+ million global patent records and advanced analytics tools such as Patent Quality Scores, co-citation analysis, and multi-generation citation charts, PatSeer provides an unparalleled view of the competitive IP landscape. Whether you’re seeking potential licensees, evaluating patent portfolios, or tracking emerging technology trends, PatSeer combines ease of use with powerful features to streamline your IP due diligence, maximize ROI, and keep you ahead in the innovation race.
