Raise your hand if you agree that “data driven decision making” is one of the biggest buzzwords in data? Not to say it’s not important, but it’s a phrase that has been beaten to death by every marketer and salesperson out there. And even though every company is trying to march to the drum of “data driven decision making”, we still can’t seem to wrangle it like a fish escaping our catch.
With the launch of Qlik Sense Business and enhancements to Qlik Sense Enterprise in our September 2019 release we have again underlined why Qlik, the largest independent data and analytics vendor in the market, is leading the 3rd generation of BI and analytics.
Google’s Data Studio has been gaining popularity ever since it was introduced into Beta back in 2016. It’s flexibility for custom integrations through writing a Community Connector, Google Sheet or BigQuery Database gives you a lot of choice for putting multiple sources of data into one report.
With the global increase in data breaches, like the biggest data fiasco of Facebook and the massive cyber attack on SingHealth’s database, the simple question of “Where is my data?” now requires answers that derive from the complex universe of data governance.
Imagine that you are an on-premises Talend customer, and your company has decided to move all of its operations to the cloud. They have licensed Talend Cloud and have tasked you with migrating your existing Talend projects and Jobs to this new product. What do you need to know to begin your migration to Talend Cloud?
As a vendor of dashboards, I know it’s really important how people use them to effectively communicate their data to end-users. But I believe a well-designed dashboard is a rare thing.
Being able to quickly integrate disparate sources of data from the edge to the core is a de facto criterion for your digital transformation to succeed — whether that’s providing real-time answers for your business teams or delivering personalized customer experiences.
In the past few years, we’ve seen rapid adoption of a new data analytics stack, based on cloud warehouses like Amazon Redshift, Google BigQuery and Snowflake. This stack has three layers: Data Integration, Modeling Layer and Application Layer.
