I recently attended a technology conference where I listened to attendees grumble about outdated technology, and apps and software products that just didn’t deliver when it comes to performance, scalability and navigation on smart phones and other portable devices. These same people said that they could not justify the cost or time required to complete a software re-engineering project.
Social networks and social media affect the lives of consumers and business users alike. Everyone knows them, and everyone uses them. Every aspect of modern life involves sharing and social interaction, Imagine an environment where business users can access a business intelligence and analysis portal and see popular data to rate, share and comment. This type of sharing can optimize resources by allowing users to access reports, dashboards and data that might be just what they need to complete a task or analysis. When you implement social media and social networking within the Business Intelligence environment business users can share, rate, discuss and learn from others.
I was talking to a friend the other day and she shared with me her experience at a recent business intelligence conference. She was a bit confused by some of the terminology and we spent a few minutes parsing the terms and talking about the concept of self-serve data preparation. She was confused by the fact that self-serve data prep and augmented data preparation are often mentioned in the same discussion.
ElegantJ BI recently announced the release of version 4.5 of its Business Intelligence and Corporate Performance Management suite, which includes major features and enhancements. The release of ElegantJ BI v4.5 represents another step on the path to enhanced self-serve BI tools to support the transition of business users to collaborative power users with powerful Social BI capabilities. In addition to its many new features and enhancements, ElegantJ BI 4.5 introduces Social Business Intelligence, to support data sharing, rating, collaboration and the emergence of data popularity.
Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the ‘analytics translator‘. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics Translator, and how this role might help the organization to achieve its goals.
When your business sets out to design or upgrade an eCommerce solution or to accomplish eCommerce integration, it is wise to consider employing the services of an eCommerce development company. While there are many platforms and options upon which to building a eCommerce site and making it successful is to understand customer expectations, and what it takes to keep the site fresh and to scale for the future.
Gathering and analyzing Business Intelligence should not be difficult and it should not be generic. Dashboards should not be restrictive and business users should be able to get what they need, when they need it to make good business decisions and accurately plan. When it comes to the Supply Chain function and industry, business intelligence is more important than ever today.
Exactly what is smart data visualization? Are we now dependent on a computer or a piece of software to decide how we see our data? Have we lost control of our reporting, data sharing and data views? The answer to those questions: a resounding ‘NO’. To understand smart visualization, let’s consider the old, traditional data visualization tools. Traditional data visualization is static and, while it may offer a choice of graphs and displays, it is not interactive. In other words, it is not smart. In the traditional scenario, visual illustrations, graphs, and displays are not useful. They don’t help business users to analyze and understand data or, more importantly, to choose the right method to display and report data for decision-making. The right view of data can make all the difference!
There are a lot of ways to manage, manipulate and store data today and those options can sometimes be confusing. Organizations often get lost when considering the myriad of options for big data and cloud development services.
Every organization manages projects – some are big and some are small and some are the lifeblood of the enterprise. Even with an enterprise project management solution, consulting companies, internal project management teams and other businesses that provide project management services often fail to meet objectives. Your organization needs analytics for project management in order to establish goals and track milestones and project results, or the enterprise cannot learn from its mistakes, forecast resources, predict revenue or improve its competitive position in the market.
