Today during Microsoft Build 2019, we announced that Talend Cloud, our Integration Platform as a Service (iPaaS), would soon be available on Microsoft Azure starting in Q3 2019. For those who have selected Azure as their cloud platform of choice, Talend Cloud running natively on Azure will provide enhanced connectivity options for modern data integration needs as well as better performance.
It’s a big day here at Qlik – we officially welcome Attunity into the fold after the formal close of our acquisition. Over the past year we’ve been executing on a vision of what customers truly need from their analytics partner – an enterprise-level data management strategy that fuels enterprise-wide analytics.
Today’s ever-increasing competitive market is forcing organizations to become more data-driven. To support key business objectives such as growth, profitability and customer satisfaction, businesses must digitally transform and become reliant on more and more data to make laser sharp decisions faster.
Among Talend’s blog posts are many outstanding ones on data governance, such as David Talaga’s “Life Might Be Like a Box of Chocolates, But Your Data Strategy Shouldn’t Be” which encourages us to know our data, and his two-part post on “6 Dos and Don’ts of Data Governance,” in which David offers steps to take and pitfalls to avoid when starting out on data governance.
It dawned on me recently that I don’t actually use the Yellowfin mobile app. Like other BI apps, our app essentially replicated the dashboard experience on my phone. But I don’t like viewing a dashboard on my phone, I’d much prefer to look at it on my desktop because the screen is larger. We realized that there’s no point having an app if no one uses it. So we started to think about how people use their phones and set about reinventing our app.
In the last three parts of this four-part series, we have looked at: research on the state of analytics today and the lack of BI adoption; the history of BI and how we have arrived at the augmented era; and the four main blockers to BI adoption that is stunting the growth your business data culture. Today, let's take a look at how AI and machine learning (ML) can close that adoption gap.
