Analytics

Harnessing the Cloud to Deliver Big Data Insights

Enterprises require fast, cost-efficient solutions to the familiar challenges of engaging customers, reducing risk, and improving operational excellence to stay competitive. The cloud is playing a key role in accelerating time to benefit from new insights. Managed cloud services that automate provisioning, operation, and patching will be critical for enterprises to leverage the full promise of the cloud when it comes to time to value and agility.

Don't Let your Data Lake become a Data Swamp

In an always-on, competitive business environment, organizations are looking to gain an edge through digital transformation. Subsequently, many companies feel a sense of urgency to transform across all areas of their enterprise—from manufacturing to business operations—in the constant pursuit of continuous innovation and process efficiency.

Qlik's Multi-Cloud Solution - Part 1 - Introduction

In Part 1 of this 2 part video, we introduce our new Multi-Cloud Strategy. Our first phase of multi-cloud capabilities are part of the June release for Qlik Sense Enterprise. They enable Qlik Sense Enterprise users to distribute apps from Qlik Sense Enterprise running on Windows to highly-elastic cloud environments for consumption.

Cloud Concentration Risk: Will this be our next systemic risk event?

The adoption of cloud computing in the financial services sector has grown substantially in the past three years on a global basis. Diversification of risk is always a key concern for financial institutions and the seeming safety of having a single cloud provider is not being properly measured from a systemic risk and operational risk perspective.

Data Festival London - From "Data reporting" to "Data storytelling"

As Chief Data Storyteller & Managing Director of strategy consultancy 36ns, Emily Hunt spends a lot of time helping to translate between the data people and the words people (and trying to tackle data-phobia amongst the words people). In this talk, she lays out her 3 key steps for data-driven teams to translate their work for their stakeholders.