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Planet (2391) · InitiativeRestatedLatest Earnings presentation (2026-09-29): "Advanced"

Visualization Service Utilizing Transaction Data as Big Data

First written in FY2016-Q3. 23 of 28 entries say "Restated". Latest entry: 2026-09-29.

28entries
11years
1from disclosures
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How it moved
ProgressHeldSoftenedWorseRestatedFY2019-Q1 – FY2020-Q2RestatedFY2021-Q2 – FY20252016: 320162017: 420172018: 420182019: 320192020: 220202021: 420212022: 320222023: 220232024: 120242025: 120252026: 12026
Same theme, other companies
Purchase Behavior Data Service by TRASTREAMA theme 2 companies write about · 0 as a headwind · 2 as a tailwind

1 other company's latest entry also says "Advanced".

Ridges = years it wrote progress, valleys = years it wrote worse. Most hopeful companies at the back. Drag to turn, scroll to zoom, right-drag to pan. On a phone, two fingers turn and pinch to zoom; one finger scrolls the page.
Full recordFilings, disclosures and news, newest first
  1. 2026-09-29AdvancedEarnings presentation

    「未利用データ種や販売レポートの活用提案を通じ、流通現場における在庫の最適化など、実務課題に応える具体的な解決策の提示へ。」

    データ活用の方向性が、未利用データ種や販売レポートを用いた在庫最適化など、顧客実務への具体的な提案へ進んでいる。
  2. FY2025RestatedAnnual report

    「Toward providing “data visualization services” that could be realized by using industry transaction data as big data, we will continue promoting the visualization and use of manufacturers’ own data and market data, promoting the visualization and use of data collected by individual manufacturers, and promoting the visualization and use of industry-wide shared data.」

    We continue pursuing 3 directions for data use aimed at developing data visualization services from transaction data.
  3. FY2024RestatedAnnual report

    「Toward providing “data visualization services” that could be realized by using industry transaction data as big data, we will continue promoting the visualization and use of manufacturers’ own data and market data, promoting the visualization and use of data collected by individual manufacturers, and promoting the visualization and use of industry-wide shared data.」

    We continue pursuing directions for data use aimed at applying transaction data as big data and developing data visualization services.
  4. FY2023RestatedAnnual report

    「We continued research into AI and big data applications.」

    We continue research into AI and big data applications.
  5. FY2023-Q3RestatedAnnual report

    「We continued research into AI and big data applications.」

    We continue research into AI and big data applications.
  6. FY2023-Q1RestatedAnnual report

    「We continued research into AI and big data applications.」

    We continue research into AI and big data applications.
  7. FY2022-Q3RestatedAnnual report

    「We continued research into and development of AI and big data applications.」

    We continue research and development related to AI and big data applications.
  8. FY2022-Q2RestatedAnnual report

    「We continued research into and development of AI and big data applications.」

    We continue research and development related to AI and big data applications.
  9. FY2022-Q1RestatedAnnual report

    「We continued research into and development of AI and big data applications.」

    We continue research and development related to AI and big data applications.
  10. FY2021RestatedAnnual report

    「We continued research into and development of AI and big data applications.」

    We continue research and development of AI and big data applications.
  11. FY2021-Q3RestatedAnnual report

    「We continued research into and development of AI and big data applications.」

    We continue research and development related to AI and big data applications.
  12. FY2021-Q2RestatedAnnual report

    「We continued research into and development of AI and big data applications.」

    We continue research and development related to AI and big data applications.
  13. FY2020AdvancedAnnual report

    「During the fiscal year, we conducted technical verification using the concept of a “DataLake,” which has attracted attention in recent years. Although multiple service providers have begun offering DataLake services, we used “Amazon aws,” which has a wealth of use cases, to evaluate its potential application to future service development.」

    Research aimed at visualizing and using transaction data progressed to technical verification of a data platform using DataLake and Amazon AWS, and evaluation of its potential applications.
  14. FY2020-Q2RestatedAnnual report

    「We continued research into and development of AI and big data applications.」

    We continue research and development of AI and big data applications.
  15. FY2020-Q1RestatedAnnual report

    「We continued research into and development of AI and big data applications.」

    We continue research and development related to AI and big data applications.
  16. FY2019-Q3RestatedAnnual report

    「We continued research and development of “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue research and development of data visualization services that use transaction data as big data.
  17. FY2019-Q2RestatedAnnual report

    「We continued research and development of “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue research and development of data visualization services that use transaction data as big data.
  18. FY2019-Q1RestatedAnnual report

    「We continued research and development of “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue research and development of data visualization services that use transaction data as big data.
  19. FY2018AdvancedAnnual report

    「We accumulated transaction data that had not previously been usable for analytical purposes and conducted verification to explore new insights, including forecasting and early detection, by combining and analyzing the data. We also added causal data, such as weather, day of the week and area, to the data subject to analysis and conducted verification of forecasting and grouping using regression analysis and clustering.」

    For the data visualization services, the work has progressed to verifying forecasting and grouping through regression analysis and clustering after adding causal data such as weather, day of the week and area.
  20. FY2018-Q3RestatedAnnual report

    「We continued research and development of “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue research and development of data visualization services that use transaction data as big data.
  21. FY2018-Q2RestatedAnnual report

    「We continued efforts to develop “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue developing data visualization services that use transaction data as big data.
  22. FY2018-Q1RestatedAnnual report

    「We continued efforts to develop “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue developing data visualization services that use transaction data as big data.
  23. FY2017AdvancedAnnual report

    「We accumulated transaction data that had not previously been usable for analytical purposes and conducted verification to explore new insights, including forecasting and early detection, by combining and analyzing the data. In addition, we conducted verification to build an environment in which large volumes of data could be processed and aggregated in a short time for practical use.」

    The description records concrete progress in the verification phase toward forecasting and early detection through the accumulation and combined analysis of transaction data, as well as toward an environment for processing and aggregating large volumes of data.
  24. FY2017-Q3RestatedAnnual report

    「We continued efforts to develop “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue developing data visualization services that use transaction data as big data.
  25. FY2017-Q2RestatedAnnual report

    「We continued efforts to develop “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue developing data visualization services that use transaction data as big data.
  26. FY2017-Q1RestatedAnnual report

    「We continued efforts to develop “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue developing data visualization services that use transaction data as big data.
  27. FY2016RestatedAnnual report

    「We continued efforts to develop “data visualization services” that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue developing data visualization services that use transaction data as big data.
  28. FY2016-Q3First statedAnnual report

    「We continued efforts to develop data visualization services that could be realized by effectively using the industry’s vast transaction data as big data.」

    We continue efforts to develop data visualization services using industry transaction data as big data.
Moved together

"Interim dividend payment" moved the same way as this thread, in the same document, in 4 of its 28 moves.

443322★123456
  1. ★This thread
  2. 1Interim dividend payment4×
  3. 2Investment in System Improvements for EDI, Platforms and Databases4×
  4. 3Expanding Core EDI Adoption in Adjacent Industries and Promoting Online Transactions3×
  5. 4Revenue growth driven by an increase in EDI data processing volumes3×
  6. 5Recognition of R&D Expenses2×
  7. 6Exploring Logistics EDI to Address B2B Logistics Challenges2×

★ is this thread; numbers match the list above. The number on a line is how many documents both moved the same way in; lines between the other threads count the documents they moved together in too. Threads that move together often sit closer.

When this could move next
No upcoming earnings preview for Planet yet. It last moved in the Earnings presentation of 2026-09-29: "Advanced".
News
No news is linked to this thread yet. When an article touches it, it will appear here by date.
Visualization Service Utilizing Transaction Data as Big Data | PLANET,INC. (2391) | Komori