But knowing when to use analytic reporting is only the beginning. You must also consider what type of report is best, or necessary, for your business?
As 2018 draws to a close, the future of business intelligence (BI) looms on the horizon.
In 2019, we’re confident that BI trends will continue to evolve—shaping the analytics landscape for organizational leaders and developers alike. And—while it’s impossible to know the future of BI—you can evaluate important data to draw conclusions and make predictions.
Keep on reading to discover 3 facts about business intelligence you can’t ignore as we anticipate BI trends in 2019. Read More
In a society accustomed to instant gratification, receiving comprehensive insight and analysis in a timely manner is the goal in analytic reporting. With real-time analytics, you can connect directly to your reporting database and gain instant access to your business’s most crucial intel. Prompt access to your data is also vital to overall success. The faster you can generate a high-fidelity view of your data and glean insights, the faster you can make decisions that put you ahead of the competition, and this can only be accomplished with real-time analytics. Read More
Embedded and Branded
Read how this leader in product completion, logistics, eCommerce and supply chain management has embedded Izenda into their business. You can contact Arvato Bertelsmann at http://www.arvatocim.com
Why did you choose Izenda?
Arvato created a robust collection of modules within “Vision”, a web application for use by our internal and external users that provides a feature-rich face to our back-end logistics application, all written in-house. While Vision has modules for managing orders, parts, operations, tickets and more, the cornerstone of our Vision tool had to be our Reporting module. We absolutely needed to get this right as this is where our users have so much “vision” into most aspects of our operations and capabilities. In short, our back-end systems have always been cutting edge, but the reporting module would drive how our customers actually perceive us. A company’s success is driven not only by actual performance, but by perception, and this was our chance to give our customers a stronger perception of our capabilities through real-time vision into our data. We had to get this right, and with the help of Izenda, we did.
Don’t be blinded by big data.
That is the warning in a recent InformationWeek (gated) article and online discussion, pointing out that just because you have flashy, powerful, big data metrics, they are not the only valid or pertinent metrics. Recently ousted CEO Ron Johnson of JC Penney cited all kinds of detailed data to justify major reorganization for the company in 2012, and then made fundamental alterations based on it. Deep discounting ended, private labels would no longer be as emphasized, and online product lineups were slashed.
As we now know, the changes upset the company’s core market while failing to attract much new interest from other demographics or clientele, resulting in a sharp drop in sales overall: $12.9 billion in 2012, down from $17 billion in 2011.
Cloud Computing: A Thing of the Past?
Yes, in ten years, we will hardly ever mention “the Cloud” and all related buzzwords surrounding cloud computing.
Notice what I am not saying: that cloud computing will go away.
Cloud computing will simply have been ingrained in the technology we use, and will cease to become a meaningful term for technologists. We’ll all be cloud computing pros, in enterprise and consumer fields alike. Says a recent article:
“Cloud computing in ten years will have gone off in various directions, all systemic to how we handle enterprise computing in the future.”
I run a small software business, what do I do with Big Data?
It’s a buzz word that has spread across seemingly every industry, from healthcare to media analytics to education. Not only are leaders across industries still trying to wrap their heads around this concept, it seems like everyone is tripping over their competition to have “the most” — and the most advanced — big data first.