Our data journey with IBM started when needing to respond to regulatory changes. We have since evolved to applying the technology to various business cases; most recently adapting to COVID-19 market conditions and now looking to the future for building new use
BARC survey is the largest of its kind
Once again, IBM received top ranks in its five peer groups in the Business Application Research Center’s The Planning Survey 20. IBM beat out competitors in performance satisfaction, planning functionality and competitiveness in the “
This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.
Though Rikke Jacobsen has worked with IBM Cognos Analytics for more than 20 years, she still gets excited about the prospect of helping her clients make sense
Right now, businesses are focused on getting the most out of their Data and AI platform without overspending to make sure it is operational and running productive workloads. This means having an always-on, 24x7 system that can handle huge spikes in workloads when needed. Many
Talent: It’s a key issue impacting today's AI-hungry organizations. While AI skills are in high demand, organizations admit they’re hard to come by. In fact, the lack of talent scarcity has been called out as one of the top three hurdles to AI adoption, after data complexity,
As coined by British mathematician Clive Humby, "data is the new oil." Like oil, data is valuable but it must be refined in order to provide value. Organizations need to collect, organize, and analyze their data across multi-cloud, hybrid cloud, and data lakes. Yet traditional ETL tools support
The Business Application Research Center (BARC) is an independent company and guarantees neutrality towards all software vendors.
In their latest report, BARC Score: Integrated Planning & Analytics Portfolios for planning, reporting and analysis, their overall findings are comprised of data
As communities and businesses worldwide look to understand the economic impact of COVID-19 and prepare for an eventual recovery, the biggest test of decision-making will be the data that will inform the business decisions. Was it trusted? Was it timely? Was it enough?
To date, there are many
During IBM’s first Data and AI Virtual Forum, a Forrester-led panel of AI leaders – who happen to be women – discussed how their organizations have achieved business-critical AI outcomes in the face of known skills gaps.
Moderated by Srividya Sridharan, a vice president of
Max Jaiswal is the enterprise data team lead at AIA Australia, a pan-Asian life insurance company with presence in 18 markets across the Asia-Pacific region. The 100-year-old firm is the largest life insurer in the world, and the largest company on the Hong Kong stock exchange, with assets of USD $
When planning for a day of business, how do you calculate the numerous factors that may affect your bottom-line revenue? For Serco, a company which operates a bike-sharing service throughout London, the answer was in their data.
Turning raw data into improved business performance is a multilayered problem, but it doesn’t have to be complicated. To make things simpler, let’s start at the end and work backwards. Ultimately, the goal is to make better decisions during the execution of a business process. This can be as simple
We live in the age of connectivity. Everyone and everything is constantly connected; yet, in most organizations, business unit planning operates in silos. This fragmented approach is often the result of spreadsheet-driven planning processes, which impede collaboration.
As we enter a new era of