Enterprise Data Warehouse Market – Overview
An enterprise data warehouse is a unified database that holds all the business information an organization and makes it accessible all across the company. Although there are many interpretations of what makes an enterprise-class data warehouse, the following features are often included: A unified approach for organizing and representing data. The ability to classify data according to subject and give access according to those divisions. A normalized design a robust infrastructure with contingency plans to allow for business continuance, accessibility and a high level of security Scalability
For IT companies, separating the analytical processes in a data warehouse from the operational processes in the production applications and transactions can enhance the performance of both areas. From a business perspective, a data warehouse platform can deliver a practical way to view the past without affecting the daily operations of the business. By querying and analysing data in the data warehouse, organizations can improve operations and enable more efficient business processes, thereby increasing revenue and raising profits.
Rise in the big data trend in the organization is leading to growing demand for analytics, which is projected to augment market growth. Increasing demand for high speed analytics and low latency along with growing role of business intelligence in enterprise management is expected to drive the market demand. The evolving warehousing centres are anticipated to introduce new scope for flexibility along with adding latest information and sources addressing the challenges such as complexity, variety, volume and velocity. Insufficient time to build in-house software, budget constraints for IT along with cost advantages relating to on-demand software subscription is expected to drive the market growth. However, difficulty in improving and managing data quality can act as a major challenge for market growth.
EDW Market Players:
Accenture PLC (Ireland), Informatica (US), ABB ltd (Switzerland), SAS Institute, Inc.(U.S.), Symantec Corporation (U.S.), Teradata Corporation (U.S.), IBM Corporation (U.S.), Intel Security (U.S.) Oracle Corporation (U.S.), SAP SE (German), are some of the prominent players profiled in MRFR Analysis and are at the forefront of competition in the Global Enterprise Data Warehouse Market.
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January, 2018 – MemSQL, provider of the fastest real-time data warehouse, announced that infiswift, an Internet of Things (IoT) platform and solution provider, has deployed MemSQL to achieve high throughput and real-time insights on IoT data for its customers. Infiswift simplifies and enhances the operation of physical things by ingesting data from IoT devices to optimize equipment using insights from the data collected. As more devices connect to the internet and collect data, analysing that data becomes a monumental challenge for companies.
January, 2018 – Microsoft released Second Update to SQL Operations Studio. The latest improvements to Microsoft’s SQL Operations Studio (MSOS) are now available, marking the data management tool’s second update. MSOS is a lightweight, cross-platform offering that combines functionality found in tools like the Visual Studio Code editor and SQL Server Management Studio (SSMS).
Enterprise Data Warehouse Market – Competitive Analysis
The Market of enterprise data ware house appears to be highly competitive. To maintain their market position and to drive the market growth, various dynamic and diversified international organizations, domestic organizations and as well as new entrants form a competitive landscape. Market leaders are innovating continuously and increasingly seeking market expansion through various strategic mergers and acquisitions, innovation, increasing investments in research and development and cost-effective product portfolio. Major players are investing on internal R&D and, most of all, in acquiring other firms. Prominent vendors of data ware house are targeting to invest more in technology and research and development activities to innovate their already existing products. The rising government funding is also expected to motivate key companies to invent new data ware house models that match the changing trends and needs across the globe.
Enterprise Data Warehouse Market – Segmentation
Segmentation by Methods: Comprises information processing, analytical processing, data mining
Segmentation by deployment: Comprises on-premise and on-cloud
Segmentation by vertical: Comprises BFSI, IT and telecommunications, manufacturing, retail, government and many more.
Segmentation by Regions: Comprises Geographical regions – North America, Europe, Asia Pacific and Rest of the World.
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Global Enterprise Data Warehouse Market – Regional Analysis
North America is projected to be the dominant region for the market followed by Europe. Due to increased awareness regarding data management, enforcement of data governance, and also the increasing need for better management of data to establish relationships between different heterogeneous variables needed to frame the strategic policies of an organization. Asia Pacific is expected to be emerging region for the market.
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