written by Sandy Cockrell III
Companies are at various stages in applying technologies such as cognitive computing, blockchain, robotics, and artificial intelligence. Some are automating discrete manufacturing, service, and compliance processes; others are digitizing at the core of their business models. The disruptive capability of today’s digital innovations is one reason why spending decisions are moving into the realm of corporate strategy, more so than ever before. There is certainly room for trial and error, but waste can be very costly.
written by Howard Tiersky
“Digital” has fundamentally changed consumer expectations. Great brands have two choices, they can radically transform their customer experience to make it digitally elegant, or they can cede a significant portion of their market to digital-first companies who are already doing it.
written by Bertram Schulte, Chief Digital Officer of SAP
Many companies hope to achieve the innovation, profits and streamlined processes that digital transformation promises. However, in my experience, I often find there is ambiguity about digital transformation from our customers, partners and business colleagues. To help separate what’s fact and what’s fiction, I’ve condensed my point of view into three myths about digital transformation. If you grasp these common misconceptions, you’ll be on your way to achieving true digital transformation.
What is your manufacturing model? Is it mass production or digital manufacturing? Most manufacturers will say they're trying to move to digital manufacturing, but are they prepared to realize the full benefits of their digital strategies?
Not all business intelligence platforms are created equal
Trying to differentiate in your industry? You can transform your entire business using data — if you have the right tools to uncover the right insights.
Modern analytics and business intelligence platforms represent mainstream buying, with deployments increasingly cloud-based. Data and analytics leaders are upgrading traditional solutions as well as expanding portfolios with new vendors as the market innovates on ease of use and augmented analytics
A data warehouse often deserves its reputation of being complex, time consuming and expensive to build and maintain. There are countless projects that have failed to deliver on time and budget and according to business requirements.
Ever wonder how you can align the employees in your organisation through a consolidated analytical framework and a single source of truth?
One of the oldest and most misguided thoughts about business intelligence is that it is a glorified tool for analytics reporting. How many times have we heard the annoying question, "oh, why don't you just use Excel for that?"
Upgrading an ERP system presents a number of challenges to many organizations. However, many of these challenges can be alleviated by integrating a Business Intelligence (BI) solution during the upgrade process. This is especially true if the BI solution is based on a data warehouse and implemented using a data warehouse automation platform.
A survey by IDC and DM Review Magazine gives us these haunting statistics:
- 17 months is the average implementation time for a BI project
- 5 months needed to deploy the first usable BI artifact
- $1.1m is the mean, annual expenditure on a BI project for companies with more than 1,000 employees
- 31% of BI projects are declared successful
- 36% confidence rate that the right data is available to the right people at the right time