Data Analytics and Robotic Process Automation
Data Analytics has come a long way, evolving from a time consuming, spreadsheet-based practice, into one of efficiency and necessity.
Data Analytics has come a long way, evolving from a time consuming, spreadsheet-based practice, into one of efficiency and necessity.
Organisations must be able to cope with the unpredictability and change in data fidelity that are caused by inconsistencies in IoT devices.
In this video, our CEO, Zachary Zeus recommends moving beyond analytics, to the concept of ANDalytics, and why it is important for business outcomes.
At BizCubed, we see successful organisations as Decision Factories. Decisions lie at the heart of every business and every decision is pertinent.
Trustworthy data, unsurprisingly, translates into trustworthy decisions. It empowers better decisions which will drive the business forward.
As the Internet of Things (IoT) leaves the realm of conversations about the future and enters a more pragmatic and operational phase, business leaders grapple with some of the hands-on challenges in collecting and analysing IoT data. We experienced some of these...
I have observed that in most organisations there is a clear delineation between teams which manage data lakes or warehouses and teams which analyse data. The specialists who build BI assets such as reports, dashboards, and cubes will be separated from the engineers...
At BizCubed, we spend a lot of time talking about how we help organisations out-compete with data. Our clients often want us to keep the strategies and approaches confidential. It was refreshing to see this case study about how MyRepublic has saved money in their...
The big button item for financial services right now is regulatory compliance because of the banking royal commission. When I talk to industry execs, they tell me to forget about "analytics" and just focus on the data. Initially, I was a little surprised by this...
Multi-Cloud environments are a necessary solution for enterprises that want to leverage the elasticity of the public cloud, but cannot host all of their data on one platform. Analytics becomes an issue in multi-cloud environments. The data must be analysed as a...