Systems | Development | Analytics | API | Testing

BI

Spring '22: Accelerate productivity, work smarter, and establish data excellence at scale

At Talend, we hear every day from our customers that healthier data makes it easier to increase revenue, reduce costs, and mitigate risk. But the journey to healthier data isn’t always easy. To support healthy data, organizations must unify data activities across users with different skill sets and levels of technical expertise through intelligence and self-service capabilities.

SaaS in 60 - Chart-level Scripting

This week we introduce a powerful new capability that allows you to provide and manipulate data directly within a chart object using script. Chart Level Scripting allows users to modify the data set behind a chart using a subset of the Qlik scripting language, using techniques such as variables and loops. Rows and columns can be added or modified that were not in the original data set enabling calculations that have previously not been possible in chart expressions or with variables. Simply enable the app for chart scripts, under measures add your script under the script section – and along with the appropriate dimensions– you will see your charts reflect the data provided by the script which also can be changed in real-time with the use of variables and expressions. Offering a new way to analyze your data such as simulations and goal seeking.

Systems development lifecycle (SDLC) with the Qlik Active Intelligence Platform - Part 2

In this video we will show how we can build context-aware applications so, your applications will know not just whether they are in Development, Test or production, but also whether they are a Sales, Finance or HR app. We will do this using built-in functionality of Qlik Cloud. We will also look at using these techniques to manage external script libraries so we can ensure we use the correct version of libraries based on where our apps reside.

Analytics For Anyone, Anywhere: How Yellowfin Solves The BI Adoption Problem

What is the one thing that all business leaders need to get started with data analytics? The answer is simple. You need to start with the right analytics platform. Selecting the right BI platform is complex, and there are many things that you need to consider. It will help if you consider that an analytic tool should provide all the features a business needs. It should also have a well-established reputation and a track record of delivering reliable and quality market data solutions.

How technology plays a part in our "New Normal" - Wendy Pfeiffer

Everyone is dealing with COVID-19 differently, but one thing most of us have in common is that we are using technology at home a lot more. In this episode, Wendy Pfeiffer, CIO of Nutanix, discusses how we are using technology to cope with the world we are living in and find a “new normal.”

Before You Embed Analytics: An Essentials Checklist

Are you planning to integrate embedded analytics into your business application? You have made the right decision. Embedding analytics directly into your software, rather than using a third-party, separated access application, gives you a wealth of benefits. For example, it helps you to get maximum value from data, brings analytics deeper into standard workflows, and significant competitive advantage. Your software has in-built capabilities others don't.

Why Legacy Observability Tools Don't Work for Modern Data Stacks

Whether they know it or not, every company has become a data company. Data is no longer just a transactional byproduct, but a transformative enabler of business decision-making. In just a few years, modern data analytics has gone from being a science project to becoming the backbone of business operations to generate insights, fuel innovation, improve customer satisfaction, and drive revenue growth. But none of that can happen if data applications and pipelines aren’t running well.