NTT DATA

Business is the main category at about 42.9% of apps, while the portfolio spans 4 categories. This is a relatively diversified portfolio strategy.

Business

3 apps · 42.9%

Productivity

2 apps · 28.6%

Reference

1 apps · 14.3%

Education

1 apps · 14.3%

• The primary category Business accounts for 42.9%. Long-tail categories can reduce single-category risk.
• The diversification score is about 0.69 (0=highly concentrated, 1=highly diversified), useful for comparing developers.

The public rating sample is thin, so reputation analysis should be treated as directional.

Apps

7

Total ratings

-

Free / paid

7 / 0

• By review volume, the leading apps include: "NTT DATA Events", "NTT DATA Services Events", "Mirai 2026: NTT DATA, Inc.".
• The visible list is free or priced at 0. Monetization may rely on subscriptions, ads, or in-app purchases; verify on the store page.

Most apps do not have enough rating data, so aggregate star ratings should be treated as directional.

• The weighted and simple averages are close, suggesting reputation is relatively balanced across apps.
• 7 apps have no public rating data, so long-tail performance is underrepresented.

The iTunes Search API does not provide review text. This card uses low star ratings with enough review volume as a proxy, and separately highlights apps with thin samples.

• No app triggered the low-rating plus sufficient-sample threshold.
• Most apps have some rating base, making star ratings relatively more stable.

The earliest listed app is "NTT DATA Services Events", while the newest or most recent listing signal is "Mirai 2026: NTT DATA, Inc.". The span is a proxy for long-term iteration capacity.

Span

9 years+

• Earliest record in this dataset: 2017 (NTT DATA Services Events).
• Newer app signal: 2026 (Mirai 2026: NTT DATA, Inc.).

These takeaways are based on public metadata and are useful for competitor research or portfolio planning. Deeper conclusions require downloads, revenue, and review text.

• Study the category mix: 4 categories show whether a main-category plus extension structure matches your resources.
• Compare reputation structure: weighted - stars vs. the leading app "NTT DATA Events" and its review volume.
• For similar tools, prioritize review mining on lower-rated apps to find functional gaps; this requires store reviews or third-party data.