While the pandemic caught the world by surprise, many businesses lacked the ability to respond quickly because of a lack of investment and preparedness. Read this report to learn how your company can embrace cutting-edge, flexible, data-driven solutions to build a business model ready to adapt to any sort of future disruption.
As data preparation tools become increasingly self-service-oriented and cloud-based, more enterprise users are employing them -- and recognizing their importance in their organizations' business intelligence strategies. This infographic shows the state of data preparation in 2019.
In this white paper, learn how to build a successful ABM foundation with data-driven account selection and modeling. Explore 4 signs your company is failing with ABM account selection, and discover how to match your account selection with active demand in your market.
In this e-guide we shine the light on a number of case studies taken from around the world of data analytics. We delve into a number of Silicon Valley-based startups that are looking to shake up the data analytics industry as well as glimpsing into the future of AI-based analytics, data visualisation tools and the Australian data analytics market.
In this week's Computer Weekly, we look at the technologies needed to support deep learning and AI applications in your organisation. We hear about Southern Water's data management overhaul and the benefits achieved from centralising its data team. And we examine best practice in managing large-scale Docker implementations. Read the issue now.
Traditional data pipelines and ETL processes are inadequate for modern analytics expectations. Read this data sheet to learn how the Qlik Data Integration Platform automates the creation of data streams; efficiently moves data to applications, data lakes, and warehouses; and enables real-time analytics via DataOps technologies and practices.
Augmented analytics tools are designed to simplify the BI and analytics process for business users and citizen data scientists. They've become featured elements in new software releases from BI vendors. This e-guide offers insights into the technology's potential uses and critical issues.
Kafka can be extremely useful when streaming data, but it can also be challenging to manage and navigate for non-developers. And despite streaming all that data, you’re often left with unstructured info sitting in a database. Read on to learn how deploying data streaming BI and smarter Kafka analytics can improve your BI and data science efforts.
Artificial Intelligence is red hot. But what lies beyond the hype? Once it was big data, then cloud, now it is artificial intelligence, and that sub-set of it which is machine learning, that's generating more heat than light. Is there business value here?
Data visualizations and analytics dashboards are supposed to streamline and simplify access to BI data. But how often is that actually happening? Read this 21-page expert guide written by our experts here at SearchBusinessAnalytics to learn how to properly create a dashboard that helps understanding, not limits it.