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
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 Research
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
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
IBM Watson Knowledge Catalog (WKC) provides a modern machine learning (ML) catalog for data discovery, data cataloging, data quality, and data governance. Within this framework lies a central Knowledge Catalog that serves as a single source of truth for data engineers, data stewards, data
A survey of end-users of Data Integration and Integrity (DII) software conducted by IDC in 2019 found that dynamic data movement, also known as data replication, is best served by stand-alone or platform tools, not custom code. When it comes to replication of data that is located in
As companies progress on their Journey to AI, there is considerable focus on what needs to be available to build AI driven applications. The rungs of the AI ladder, which are best described as Collect, Organize, Analyze, Infuse, and Modernize are designed to strengthen a company’s
Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBM Cloud Paks. With V3.0,
Africa is no stranger to the challenges of infectious diseases. Since 2015, hawse have addressed the likes of Bubonic Plague, Dengue Fever, Ebola, Measles, Middle East Respiratory Syndrome (MERS), Yellow Fever, and Zika Virus—at the cost of hundreds of thousands of lives across the continent. As
Keeping up with modern business
Business analysts today are expected to deliver insights and decisions on demand. Yet with continually increasing data complexity and volume, business analysts find it more and more challenging to produce accurate results in a timely fashion.
A common business hurdle
This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.
Shortly after the United States declared a state of emergency, IBM responded by creating an interactive Incidents Map found on the Weather Channel app, and developing an
For years, IBM’s Netezza proved to be an excellent option for companies to run advanced analytics on a single data warehouse appliance without needing to set up and configure a traditional data warehouse. When IBM decided to replace Netezza with Db2 Warehouse, some companies didn’t want to make
Around the world, companies are pivoting to adjust to an entirely new reality. Business-as-usual means something far different today than it did just a few months ago. For most enterprises, digital transformation isn’t just a distant business objective—now it’s an imperative to find new ways of
As we grow smarter and more sophisticated, thanks to rapidly enhancing technological innovations, enterprise data management and analytics have to keep pace to ensure organizations continue to remain effective and data- and insights-driven.
Let’s not underestimate the sheer scale of the problem