Patanner Inc. (Headquarters: Shinagawa-ku, Tokyo, Representative Director: Tsugushi Fukano) has released a guide for management, "Data Management as a Management Issue 2026: Strategic Guidelines to Turn Data Assets into "Profits" and "Competitive Advantage"," which aims to help companies directly link their data assets to business results.

This document redefines data management not as "defensive IT operations" but as "offensive business investment," and unravels specific strategies and roadmaps from a management perspective on how to generate profits through data utilization and build overwhelming competitive advantage over competitors.

▼ Read the full explanatory guide (PDF download)

https://tazna.io/contents-datamanagement-merit

Background of Release: The Difference Between Companies That "Just Have Data" and Those That "Turn Data into Profit"

"We are told that data utilization is important, but we cannot see the return on investment."

"The field is requesting a budget for data infrastructure construction, but we don't know how to evaluate it from a management perspective."

With the rapid spread of AI, everyone understands the importance of data utilization, but only a very small number of companies are able to appropriately evaluate it as a "management issue" and incorporate it into their strategies.

The biggest reason why data management fails in many companies is that it is treated as "cost center work for the IT department."

However, proper data management is a powerful weapon that dramatically increases decision-making speed, reduces wasteful operational costs, and transforms into a "profit center" that creates new business models.

This document explains the correct perception that management should have towards data management, how to measure specific ROI (Return on Investment), and strategic guidelines for realizing data-driven management by involving the entire company.

▼ Read the full explanatory guide (PDF download)

https://tazna.io/contents-datamanagement-merit

Overview of this Document (White Paper)

"Data Management as a Management Issue 2026: Strategic Guidelines to Turn Data Assets into "Profits" and "Competitive Advantage"

<Table of Contents>

Introduction

Understanding the Basics of Data Management

What is Data Management: Definition and Overall Picture

Why is Data Management Gaining Attention Now?

The Difference Between Data Management and Data Governance

Management Benefits of Data Management

Dramatic Improvement in Decision-Making Speed and Accuracy

Achieving Cost Reduction and Operational Efficiency

Leading to Sales Expansion and Securing Competitive Advantage

New Value of Data Management in the Generative AI Era

Preparation of AI-Ready Data Determines Corporate Competitiveness

The "Common Language" of Data Required in the Age of AI Agents

Specific Business Effects of Improved Data Quality

Improving Data Quality Enhances the Reliability of Analysis Results

Centralized Management of Master Data Accelerates Inter-Departmental Collaboration

Reducing Costs and Labor Through Automation of Data Quality Management

Benefits in Compliance and Risk Management

Ensuring Compliance with the Personal Information Protection Act and GDPR

Reducing Security Risks and Strengthening Incident Response Capabilities

Streamlining Audit Response and Reporting

Future of Data Management: Outlook Towards 2030

Progress in Data Spaces and Data Ecosystems

Shift to "Data as a Product" Thinking

Fusion of Composable Architecture and Data Management

Conclusion

"Tazuna," the Easiest Data Catalog in the World to Get Started With

<Recommended for>

Executives and Management: Those who want to incorporate their company's data assets into management strategy and build long-term competitive advantage.

CDOs, CIOs, Heads of DX Departments: Those who want to clarify the return on investment (ROI) for data infrastructure and management, and gain understanding and approval from management.

Corporate Planning and Business Managers: Those who want to draw a path to connect data utilization not just to "operational efficiency" but to sales improvement and new business creation.

Read the full explanatory guide

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"Data Analysis Introductory Book 3-Piece Set" that serves as a reference for performing data analysis using Excel x ChatGPT, Copilot, and Python.

"Tazuna," the Easiest Data Catalog in the World to Get Started With

Data catalogs were software developed for information systems departments to manage data within a company, and for data analysis professionals to search for data.

We have reinvented such data catalogs into software that "any company, any job type, can use quickly and easily."

POINT 1: Automatically Creates Design Documents

Dashboards that someone worked hard to develop with BI tools.

Can you explain the meaning of the displayed metrics?

Do you have a way to quickly investigate if the displayed numbers seem incorrect?

With Tazuna, everything is clear at a glance.

POINT 2: Understand the Background of Data

Tazuna allows you to find not only data but also the people behind it.

Who is knowledgeable about what data assets (data, dashboards, terms, and definitions)? Who are they communicating with regarding data? This can be understood on an individual basis.

Tazuna can be used for optimizing personnel allocation.

POINT 3: Utilize Before Building the Foundation

We know the struggles of building a data infrastructure with great effort by the unsung heroes who prepare the data. It's a waste if such data infrastructure is not used by all employees.

Therefore, we have reinvented the data catalog so that we can specifically grasp the data that needs to be prepared.

Tazuna unites development and the field.

"Data Architect Training" to Hone "Planning Skills" in the AI/DX Era Using Your Own Company's Data

Data Architect Training

This program differs from traditional DX training focused on "programming acquisition" and specializes in acquiring "planning and design skills based on data" required in the business field.

In addition to lectures, it combines "planning and development camps" using actual company data, resulting in a fully practical curriculum where a product proposal that can be used in real work is completed by the end of the training.

First, let's consult

"Data Management Practical Training" to Make Data a Weapon "Driven by the Field" Without Relying on Specialized Organizations

Data Management Practical Training

This program goes beyond simple lectures that only teach DMBOK (Data Management Body of Knowledge) concepts, with the goal of establishing "operational rules that can be used in the field starting tomorrow" during the training.

It is a practical curriculum designed to create "self-sustaining organizations" that can accelerate DX and AI utilization by having field departments independently manage quality and governance, especially in companies where data utilization is stalled due to a lack of specialized organizations.

First, let's consult

"The Magic of Data Catalogs: Transforming Your Company's Data into "Data Anyone Can Use"" by Patanner Representative Fukano, the First Explanation of "Data Catalogs" Essential for DX Promotion in Japan

"The Magic of Data Catalogs: Transforming Your Company's Data into "Data Anyone Can Use""

This book clearly explains practical methods for utilizing data managed separately in each department as a company-wide asset, in an easy-to-understand story format.

Through the growth story of a protagonist from sales who transfers to the DX promotion office and challenges internal reform with data catalogs as their weapon, readers can learn the essence of data utilization that can be tackled even without specialized knowledge.

Chapter 1: My Fateful Encounter with Data Catalogs

Chapter 2: Basic Knowledge and Technical Terms of Data Utilization You Can't Ask About Now

Chapter 3: "You Can Do This Too!?" I Exclaimed Using Data Catalogs

Chapter 4: Challenging "Visualization" Across Departmental Walls Using Data Catalogs

Chapter 5: I Had the Analysis Pro (Demon) Use the Data Catalog (Golden Staff)

Chapter 6: Data Catalogs United the Business and IT Departments

Chapter 7: Showed Management "DX Results" in Numbers Using Data Catalogs

Chapter 8: The Magic of Data Catalogs ~And Yet, For Those Who Don't Use Data Catalogs~

Purchase here

Company Profile

Company Name: Patanner Inc.

Representative: Tsugushi Fukano

Location: 5-5-15 Kita-Shinagawa, Shinagawa-ku, Tokyo

Business Activities:

- Planning, Development, and Operation of Data Catalog "Tazuna" - Data Strategy Consulting - Data Human Resource Development and Organizational Development

Corporate Site: https://pttrner.co.jp/

Data Catalog "Tazuna": https://tazna.io/

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  • Category: プレスリリース