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市場調查報告書

利用資料整合打破數據孤島

Break Down Data Silos With Data Integration

出版商 Info-Tech Research Group 商品編碼 603333
出版日期 內容資訊 英文 129 Pages
商品交期: 最快1-2個工作天內
價格
利用資料整合打破數據孤島 Break Down Data Silos With Data Integration
出版日期: 2018年01月23日內容資訊: 英文 129 Pages
簡介

資料整合失敗是因為過於關注點對點解決方案。如果你想讓你的優秀DI解決方案變得更好,你必須用商業視角來看待它。

儘管對技術的需求,數據量以及訪問數據的速度在不斷增長,但在現代組織中查看所有各種不同數據集還是非常具有挑戰性。

当レポートが示す複数の利用事例に落とし込み、自身のケースをどのように共通の参照アーキテクチャに適合させられるかを考えることで、問題を簡素化し、目的主導型の統合環境が構築できます。

將自己置身於我們的使用案例之一,看看您如何適應常見的參考架構,以簡化您的問題並構建目標主導型的整合環境。

本報告旨在提供以下負責人這些幫助。

  • 數據分析人員感覺到數據整合不佳的原因在於報告中的不准確性和低效率。
  • 業務分析師表達了改進數據整合的需求。
  • 數據架構師希望設計和促進整體數據環境的改善。
  • 數據解決方案將高層架構設計更改付諸行動。

本報告提供以下支援。

  • 了解什麼是資料整合,以及它如何適合您的組織。
  • 發現利用改進的數據主導型分析整合的機會。
  • 設計一個鬆散耦合的整合架構,可以靈活適應不斷變化的需求。
  • 確定資料整合和設計解決方案的業務需求,以滿足符合要求的差距。
目錄
Product Code: 75051

Integrate your data or disintegrate your business.

Data integration fails because there is too much focus on point-to-point solutions. If you want your good DI solution to be great, you have to look at it with a business lens.

While the need for technology, the amount of data, and the speed for access of that data is constantly growing, it is challenging to view all of the various and disparate data sets in a modern organization.

Land yourself in one of our use cases and see how you fit into common reference architectures to simplify your problem and build a purpose-driven integration environment.

This research is designed for:

  • Data analysts feeling the pains of poor data integration from inaccuracies and inefficiencies in reporting.
  • Business analysts communicating the need for improved integration of data.
  • Data architects looking to design and facilitate improvements in the holistic data environment.
  • Data solutioners putting high-level architectural design changes into action.

This research will help you:

  • Understand what data integration is, and how it fits into your organization.
  • Identify opportunities for leveraging improved integration for data-driven insights.
  • Design a loosely coupled integration architecture that is flexible to changing needs.
  • Determine the needs of the business for data integration and design solutions for the gaps that fit the requirements.

Data is one of the most important assets in a modern organization. Contained within an organization's data are the customers, the products, and the operational details that make an organization function. Every organization has data, and this data might serve the needs of the business today.

However, the only constant in the world is change. Changes in address, amounts, product details, partners, and more occur at a rapid rate. If your data is isolated, it will quickly become stale. Getting up-to-date data to the right place at the right time is where data integration comes in.

Info-Tech's four-phase methodology included in this blueprint incorporates a hybrid linear and iterative process that will help you break down data silos. Info-Tech's methodology:

  • Phase 1: Gather business requirements
  • Phase 2: Analyze technical requirements
  • Phase 3: Design the solution
  • Phase 4: Build the solution

This methodology will provide you with the strategy needed to address the common challenges of data integration and create a loosely coupled integration architecture. By engaging the crucial roles and understanding what is needed from the business, and then from a technical perspective, you will generate integration solutions that serve the needs of the business in the present and that are scalable, agile, and responsive for changes in the future.

This research is created with reference to the Data Asset Management Association's Book of Knowledge, Version 2 (DAMA DMBOK2).

Executive Summary

The research in this blueprint focuses on data integration and interoperability, one of the essential components of a comprehensive data management practice.

Situation:

  • As organizations process more information at faster rates, there is increased pressure for faster and more efficient data integration.
  • Data integration is becoming more and more critical for downstream functions of data management and for business operations to be successful. Poor integration holds back these critical functions.

Complication:

  • Investments in data integration can be a tough sell for the business and it is difficult to get support for data integration as a standalone project.
  • Evolving business models and uses of data are growing rapidly at rates that often exceed the investments in data management and integration tools. As a result, there is often a gap between data availability and the business' latency demands.

Resolution:

  • Create a data integration solution that supports the flow of data through the organization and meets the organization's requirements for data accuracy, relevance, availability, and timeliness.
  • Build your data integration practice with a firm foundation in governance and reference architecture; use best-fit reference architecture patterns and the related technology and resources to ensure that your process is scalable and sustainable.
  • The business' uses of data are constantly changing and evolving, and as a result, the integration processes that ensure data availability must be frequently reviewed and repositioned in order to continue to grow with the business.

Info-Tech's critical insight:

  • Every IT project requires data integration. Regardless of the current problem and the solution being implemented, any change in the application and database ecosystem requires you to solve a data integration problem.
  • Data integration problem solving needs to start with business activity. After understanding the business activity, move to application and system integration to drive the optimal data integration activities.
  • Data integration improvement needs to be backed by solid requirements that depend on the use case. Info-Tech's use cases will help you identify your organization's requirements and integration architecture for its ideal data integration solution.