2023-03-28
Personalization is important because it helps organizations drive revenue and improve loyalty. As a matter of fact, a 2022 study indicated that 86 percent of customers are more likely to incline towards personalization.
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2023-03-23
Data drives organizations of all types and sizes. From large and medium businesses to smaller enterprises, business leaders are reimagining their data strategies to manage data flowing to and from a variety of sources.
2023-03-21
As organizations continue to invest in an increasing number of applications, it’s important that they find ways to consolidate them with their existing technological solutions.
After all, disconnected applications can make organizations go down the rabbit hole of problems – whether it’s preventing lines of business from gaining access to important data or compelling employees to enter information through manual means across multiple applications.
2023-03-16
To support your organization’s data quality and accessibility, you can build data integrations in which data is gathered from multiple systems, transformed, then loaded to a single location, particularly from a data warehouse or data lake.
2023-03-14
Self-service has gained traction in the last few years. The voluminous number of systems, data, and applications introduced by big data and clouds can put pressure on IT teams, take weeks or months of calendar time, and ultimately prove costly for businesses.
2023-03-07
Customer data integration (CDI) is a process that integrates and manages data about your customers gathered from different sources. It enables you to kickstart sales and create new revenue streams by identifying customers’ needs and requirements, mindsets, and pain points, so you can focus on marketing to and satisfying customers.
2023-03-02
Being legacy-bound, financial organizations often remain behind the curve when it comes to attempts to digitally transform. In the last few years, because banks and other financial institutions worked to manage a complex and uncertain economic landscape, many digital transformation efforts were refocused on critical digital consumer-facing solutions or products.
2023-02-28
As organizations continue to handle more data and adopt more applications, the need for that data and applications to work together has never been greater.
But serious challenges in integrating data and connecting applications persist, forcing employees to jump between apps to get access to data, integrate data to access different applications manually, and inevitably, lose insights that can help companies make informed decisions.
2023-02-23
When data is inaccurate, missing, or outdated, the organization’s business teams are forced to make less-than-ideal decisions on behalf of colleagues, clients, and prospects.
Addressing the foundation of the problem requires improving the end-to-end process of data collection from different source systems, storing it in a data warehouse, and then exchanging it with myriad downstream applications.
2023-02-21
As companies scale, they rely on an increasing number of applications for garnering and storing their data. The average organization, for example, leverages nearly 300 applications across its business ecosystems.
However, as companies invest in more applications, they fail to get most of the growing volume of data that’s collected: Research by IDC states that the average company doesn’t use 68 percent of its data.