Buying Business Intelligence & Analytics solutions has changed dramatically in the past few years. Traditionally, vendors did not offers a Proof-Of-Concept (POC) stage during the buying process and when a vendor did offer one, it would often take months to set up and could easily cost tens of thousands of dollars to launch.
Sisense delves into the architecture of analytics solutions to help businesses learn to recognize the key features of different technologies and select one that suits their needs best. This white paper touches on everything from data size, speed, and scalability to provide an overview of the most important considerations to keep in mind when selecting a business analytics technology.
Domo surveyed 1,064 individuals in business leadership roles in a wide variety of departments, across a large number of industries. Domo wanted to know how the average business professional feels about the information they have—or do not have—and how they are interacting with that data. The company’s internal study examined the role of business information from a number of important perspectives, including the real-time nature of data, the devices used to access the data, and how information is being consumed within the organization.
In the new world of business intelligence (BI), the front end of an executive management platform, or dashboard, is one of several critical elements needed to maximize the value of your data and traditional BI investments. Dashboards have the ability to leverage and transform your business intelligence into the real-time at-a-glance insights you need to enhance decision-making, reduce costs, increase productivity, respond faster to market conditions, simplify process management, optimize business operations and outpace the competition. Unfortunately, too many dashboard projects fail to meet their potential as a result of organizations committing 7 common mistakes outlined in this article.
In this paper we’ll explore how point solution pollution impacts the top six operational challenges faced by cross-channel retailers, as identified by retailers themselves in Retail Systems Research’s (RSR) new benchmark report, The Multi-Channel Retailer’s Reality in a Post-Amazon World. We’ll also illustrate how Domo’s cloud-based business intelligence platform helps overcome these challenges by enabling retailers to see all their disparate data sources in one place, in real time, on any device.
For many CEOs today, big data is at the top of the strategic agenda. At the same time, many business leaders are wondering how to turn the vast stores of data in their existing systems—in addition to the fast-growing volumes of data generated by the social Web and elsewhere—into top- and bottom-line benefits. According to a 2012 study by global management consulting firm McKinsey & Co., 65 percent of executives say big data and analytics is a priority for their organizations (see Figure 1, “Big Data High on Strategic Agenda,” at right). About half of business leaders say they expect to build competitive advantage with the initiative, and nearly a third intend to build a new business or tap into new profit pools.
In the category of late bloomers, business intelligence (BI) and data warehousing can be added to the list. In use for more than 20 years, BI and data warehousing’s ability to provide substantive benefits remains elusive for many companies. While hard-and-fast statistics are difficult to get, widely reported failure rates for BI projects range from 50 percent to as high as 80 percent. However, such failure rates have not stopped companies from continually trying to gain benefits from BI. The results of a survey released in January 2012 by Gartner found that among the top technology priorities for CIOs, number one was analytics and business intelligence.