Patent Analytics is very crucial in unlocking the real value of patent information such as market competition and technological innovation. It provides a thorough insight into own as well as competitors’ vulnerabilities, strengths, and prospects of patent portfolios with an in-depth understanding of the worldwide patenting trends, patent landscapes, and white spaces, and far more. With more than 136 million+ published patent documents available with PatSeer, it becomes a little easier if you know some quick hacks to unleash the potential of patent analytics. PatSeer’s expert and experienced research team have curated the following 10 quick tips for you to get the most out of patent analytics.

1. Start with Broader Outlook

You might have a clear picture about what exactly you’re looking for, like exact technology or innovation, etc. But it’s always better to start the research with a broader criterion in mind so that no relevant record gets unnoticed.

PatSeer’s Quick Search pane allows you to enhance your searching speed with a wider perspective as well as can be used to make an effortless deep search scripting

2. Know your Approach

Patent records and datasets are complex to comprehend as the same idea or innovation can generate more than one patent or patent application. It’s better to be aware of whether the analysis must be done for patents or technologies. This drives the conclusion of the analysis. So, for accuracy, now the search needs to be narrowed down for superior analysis.

ReleSenseTM – PatSeer’s AI/ML-based NLP text processing engine does your job of finding and arranging keywords with Boolean operators, from an entered paragraph/text.

3. Let Data Speak

Even well-curated patent data also needs to be cleaned using various search parameters. The analysis is generally made for a wider range of audiences for analytical thinking as well as decision making. The Data like assignee (predominantly, the organization owning the patent) and inventor information, industrial applications, benefits of the invention, etc. need to be made specific to your organization or the reading audience. The data presentation after this becomes easy to use and read and becomes more helpful in the decision-making process. The data now speaks the underlying stories like assignee changes, hidden mergers, nationwide expansions, innovative technical developments, etc.

PatSeer enables you to dive deep into your search results for better-refined patent documents through its various filtering options like Search within Records, etc

4. Use Broad Patent Classification

Avoid immediate use of IPC/CPC codes within the patent search and analysis tools to produce direct visualization data. Also, using classification codes makes it difficult to understand for the readers (e.g., A reader won’t directly understand that CPC code – F05B 2280/10 refers to which technology field). It’s ideal to incorporate text and data mining into the analysis in some form. This requires skill and time and a SAAS like PatSeer to convert the raw patent information into a delightful analytical insight for readers.

Patent Analytics using PatSeer makes it effortlessly more straightforward to present, read, and understand the data in an interesting way.

5. Target Insights with visualizations – Charts and Graphs

It’s difficult to communicate with a reader using the raw patent data. It’s best to create data representation models – charts, graphs, tables, etc. to present the data as an answer to the readers’ all questions. This also provides an insight into the matrices describing the landscape analysis with the technologies turning towards commercialization.

PatSeer’s Quick Stats/Matrix panel enables you to discover various combinations of datasets that can be presented visually to your audience.

6. Citation Analysis

Citation Analysis is a more impactful way to represent patent data. As the patent covering an invention is considered more impactful based on the number of citations the invention has received. Using a visual representation of forward and backward citation environment in the patent portfolio, the reader can gather intelligence on who is working on the same technological innovation.

Such analysis also serves as a double-checking measure for any similar tech activity nearby the searched invention. It provides the bottom-up viewpoint, unlike other patent analytical techniques. Use PatSeer’s Citation Analysis capabilities to gain insights into the evolution of technology

7. Provide Data with Visuals

Considering the target audience, it’s important to categorize the data – which to be represented graphically and which to be presented subjectively. The reader won’t put enough effort to read the analysis if it’s not simple to understand the visuals. A precise visual representation of accurate data ensures that the analysis is detailed and well performed.

You can leverage PatSeer’s varied data representation capabilities to improve the reach of your analysis and audience engagement

8. Style Guide/Analysis Format

It’s always better to invest some time in creating a style guide/analysis format – highlight styles, font standard, font size, background colors/effects, chart types, well-designed table format, image selection, etc. Your style guide becomes your identity for your audience, and it protects your reader-base from complexity. This allows you to focus more on analysis than formatting every time from scratch. This investment enhances your productivity and efficiency in your analytical skills.

PatSeer’s search adeptness aids you in being on track with your set analysis standards

9. Dataset – Updation and Changes

As the datasets over a period will drift – the addition of new records, updation of existing records, etc., you’ll need to design an analytical process that allows tracking of such variations and the ability to follow the existing data structures into new data points. You might need to repeat few analytical processes to keep updating the analysis for what was known then with the earlier data and what is known now after the updated data. Both analyses are important as they’re used for varied purposes.

The Project section in PatSeer allows you to maintain and update the dataset as per the analysis requirements.

10. Clarity is the Key

Being an analyst, it’s essential to reduce the complexity of the data and produce an easy-to-understand clear analytical insight as efficiently as possible. The efficacy of such communication with the target audience is merely determined following the time and skill required to comprehend the analysis by the audience. The success of analysis is defined by the number of people who stay engaged till the end and how easily understandable the conclusions are. An analyst’s expertise lies in its ability to present the most complex data in a simple, concise, and clear way.