In almost every industry, Excel spreadsheets are the standard for viewing and working with data due to the ease of use and visual nature of Excel. SQL databases offer more efficient and powerful ways to analyze large amounts of data, but Excel is hard to beat when it comes to visualizations, especially for self-service analytics.
A multitude of factors influence any organization's decision on whether or not to move their data and computing to the cloud, including efficiency, collaboration, security, and of course, cost. Amazon Web Services (AWS) just announced the launch of a new Total Cost of Ownership (TCO) calculator aimed at helping customers make the decision to move to the cloud.
In a previous post, we discussed getting started with predictive analytics and recommended executing a proof of concept to prove the general benefits of predictive analytics to your organization. But how do you make sure that you're providing specific, actionable predictive analytics insights that deliver real value to your organization?
In a previous post, we discussed how beginning with a proof of concept can be the best way for an organization to get started with predictive analytics. However, if you’ve never worked with predictive analytics before, it may be challenging to design and execute your proof of concept.
Predictive analytics is emerging as a key methodology for organizations that want to leverage their data into a competitive edge that will help them predict customer behavior, understand trends and make more informed business decisions.
Zoe Cler is an experienced 110 Consultant and a frequent user of PowerPivot. She shares her ten favorite reasons to use Excel PowerPivot below:
Big data is everywhere. As the rise of multimedia, internet, social media and large enterprise data continues to skyrocket, the need for talented individuals to extract value and evolve the data will become lean. These individuals will be critical in leveraging the information in order for executives to make strategic business decisions moving forward.
We have recently posted a number of blog articles surrounding the topic of Business Intelligence. We understand that it is not only important to develop good BI solutions, but even more important is how your data is presented and it's ability to report accurate information as well as track your documents.
Below are three of our previous blog posts that focus on simplifying, streamlining and tracking your reporting for success as well as some important business intelligence best practices.
At 110 Consulting we understand that the demand to differentiate and improve your ROI is more important than ever, and we believe an organization's ability to leverage and manage their business information is critical in achieving these goals. To help you better develop business intelligence solutions that will streamline your data in order to increase productivity, deepen insights, empower users, and improve company operations, we've put together our top 5 most popular blog posts of all time covering business intelligence best practices, product comparisons between PowerView and Tableau 8, BI funding and much more!
I wrote an article back in June about Big Data, Big Returns and companies staying ahead of their competition as it pertains to leveraging their data and data management. Companies using their data to make qualified business decisions and harnessing all of the data into simplified and concise metrics to increase ROI and stay ahead of the competition. This means making the data as simple and versatile as possible, so it can be executed across various departments and teams. We like to refer to it as simplified business intelligence.