Ok, I’ll admit it… I’m one of those people, I own a Peloton – and it’s awesome. But, as a data professional, I’ve struggled with getting decent metrics about how I’m doing and trying to see if I’m making progress with my fitness level. How can I discern performance stats to answer basic questions to gauge my performance over time?
Over the last few weeks, I delivered four live NiFi demo sessions, showing how to use NiFi connectors and processors to connect to various systems, with 1000 attendees in different geographic regions. I want to thank you all for joining and attending these events! Interactive demo sessions and live Q&A are what we all need these days when working remotely from home is now a norm. If you have not seen my live demo session, you can catch up by watching it here.
One of the things we've done a lot of work on at Yellowfin is automated business monitoring (ABM), specifically with our product Yellowfin Signals. It can truly transform organizations and help them to deliver insights faster, ones they can react on. ABM has been in the market for about five years but we haven't seen it take off just yet. One reason is that automated business monitoring challenges the status quo of the data analyst.
How large is your Hadoop data lake? 500 terabytes? A petabyte? Even more? And it is certainly growing, bit by bit, day after day. What began as inexpensive big data infrastructure now demands ever more expenditures on storage and servers while becoming increasingly unwieldy and expensive to manage. Such rapacity makes it ever harder to realize a proper return on investment from that Hadoop infrastructure.
On December 8th, it was time for the annual “State of the Union” from Qlik, with regards to BI & Data Trends. Overwhelmingly, attendance was in the many thousands, and we received thousands of questions. To get that type of engagement in a year where people have done nothing but virtual conferences is amazing. One person put it to me like this: “I just joined in on your webinar on the top data and analytics trends and it was truly fantastic.
In my last two blogs (Get to Know Your Retail Customer: Accelerating Customer Insight and Relevance, and Improving your Customer-Centric Merchandising with Location-based in-Store Merchandising) we looked at the benefits to retail in building personalized interactions by accessing both structured and unstructured data from website clicks, email and SMS opens, in-store point sale systems and past purchased behaviors.
2021 is the year of the Data Cloud. Powered by the Snowflake platform, the Data Cloud will be the place where organizations across industries can converge to mobilize their data. Snowflake estimates that there are still hundreds of millions of data sets isolated in cloud data storage and on-premises data centers globally. The Data Cloud eliminates these silos, allowing you to seamlessly unify, analyze, and share your data to reach deeper insights and even open new revenue streams.
Once, dashboards and reports were limited to being embedded into our apps as standalone modules - essentially, as separately accessed product features. This limitation sometimes meant analytics is forgotten by users, and more often than not, underutilized in its potential. Today, contextual analytics makes it possible to embed analytics directly into the core workflow of your software.
It’s no secret that businesses are undergoing a dramatic digital acceleration during the pandemic. A recent Gartner CFO Survey characterizes this acceleration as “from the pace of a multi-year marathon to a 12-month sprint,” while a McKinsey survey estimates that organizations have shortened the digitization of their customer and supply-chain interactions by three to four years. Lagging behind in turning data into answers is no longer an option.
2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.
