Knowledge management – Turning data and analytics into a contact sport
As data and anaytics teams build innovative, transformative solutions and processes, the role of knowledge management becomes ever more important. Rather than leaving the understanding of how those assets were created locked up in the minds of practitioners, it needs to be formalised, documented and shared. This whitepaper considers how to apply knowledge transfer in this domain.
Key factors in deciding where to place your data organisation
Data and analytics may already exist in your organisation as expert practitioners within different functions. But that is not the same as having a data and analytics function. When deciding to create this as a standalone unit, a critical issue to settle is where it should sit in the broader organisation. This article considers possible options based on DataIQ Leaders member experiences.
Build and future-proof your skills with DataIQ Leaders
If data and technology are creating what has been called the Fourth Industrial Revolution, then data and analytics functions (D&A) find themselves right at the heart of this transformation. This article maps the skills you need now and in 2020 against the DataIQ Leaders programme to help you find the resources to equip yourself.
Improving soft skills in the data and analytics function
This guidance whitepaper considers how organisations should map soft skills, support teams in developing them, incentivise improvements and measure these abilities from the top down. It is intended to help DataIQ Leaders members to improve their scores on these factors when undertaking a CARBON™ assessment.
Moving from data silos to data assets
With every new system adopted by an organisation, data proliferates. Without the right management and governance, these sources soon become silos. The result can be an incomplete view of the business and its customer base, as well as flawed processes and lost value. This guidance whitepaper offers insights into how to improve your CARBON capability around data management.
“It’s not always the weather” – Optimising KPI development and delivery
Business intelligence is often the entry point for data transformations. As such, it brings the data and analytics teams into direct contact with lines of business to refine, support and deliver key performance indicators. This guidance whitepaper offers insights into how to improve your CARBON capability around this business-critical area of activity.
Building a data lab
Data science has been a focus for investment by organisations seeking to mature their data and analytics capability for the last five years. This briefing paper offers insights into how to improve your maturity score by creating a data lab,
Improving BI data quality
Data quality in business intelligence is not often recognised as an issue in itself, yet its impact on the reliability of reports and KPIs can be significant. This guidance note offers an approach for improving your CARBON score for BI by one or two points.