Considerations for Building a Real-time Data Warehouse

March 5, 2019

In today’s fiercely competitive marketplace, companies have an insatiable need for information. Key to maintaining a competitive advantage is understanding what your customers want, what they need and the manner in which they want to receive your products or services. It is becoming increasingly clear that companies poised to experience the greatest success will be those firms that can effectively leverage their data to meet organizational needs, build solid relationships with stakeholders and above all, meet the demands of today’s customers (Schroeck, 2000). The global economy of today demands that organizations adhere to the constantly changing needs of the customer. Additionally, the speed and dynamic nature of business often negates the time required for long-term planning and time-consuming implementations in order to stay ahead. Because of this, organizations must implement solutions that can be deployed quickly and in a cost-effective manner (Zicker, 1998). So, how does an organization meet these ever-changing, complex requirements? An effective real-time business intelligence infrastructure that leverages the power of a data warehouse can deliver value by helping companies enhance their customer experiences. Furthermore, a real-time data warehouse eliminates the data availability gap and enables organizations to concentrate on processing their valuable customer data. By designing a data warehouse with the end user in mind, you multiply your chances of better understanding what your customer needs and what you need to help that customer achieve his or her goals (Haisten, 2000).

Spotlight

Quantcast

We have built one of the world’s most sophisticated data-intelligence platforms, utilizing big data and machine learning to solve the biggest challenges in marketing and create more rewarding experiences across the digital landscape. Publishers use our insights to better understand audiences and how content resonates with consumers they want to attract and retain. Marketers utilize our understanding of online behavior and our predictive advertising capabilities to reach the customers likeliest to engage with their messages. Consumers see the results of our work in relevant stories and advertisements that create a personalized experience across all of their devices…

OTHER WHITEPAPERS
news image

Building a High-Performance Data Organization

whitePaper | May 6, 2022

Every organization today recognizes the strategic value of generating actionable insights from their enterprise data.

Read More
news image

7 Trends for Data Science in 2021

whitePaper | May 5, 2021

Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

Read More
news image

Accelerating Data Modernization with Azure

whitePaper | May 18, 2021

Next-gen data operations require next-gen data technologies and strategies and Azure is an ideal platform for this modernization to take place. Download this white paper to better understand the strategies, philosophies, and technologies your organization needs to expand analytics abilities, reduce technical debt, embrace AI, and more.

Read More
news image

Active Data Governance Methodology

whitePaper | February 10, 2022

Modern data governance leaders are searching for the role that governance should play in delivering high-quality data.

Read More
news image

Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

Read More
news image

Artificial Intelligence and National Security

whitePaper | November 26, 2019

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

Read More

Spotlight

Quantcast

We have built one of the world’s most sophisticated data-intelligence platforms, utilizing big data and machine learning to solve the biggest challenges in marketing and create more rewarding experiences across the digital landscape. Publishers use our insights to better understand audiences and how content resonates with consumers they want to attract and retain. Marketers utilize our understanding of online behavior and our predictive advertising capabilities to reach the customers likeliest to engage with their messages. Consumers see the results of our work in relevant stories and advertisements that create a personalized experience across all of their devices…

Events