IdeaScale
NOVEMBER 30, 2023
Table of Contents What is Trend Analysis? Trend analysis is defined as a statistical and analytical technique used to evaluate and identify patterns, trends, or changes in data over time. It involves the examination of historical data to uncover insights into the direction or tendencies of a particular phenomenon.
Planview
DECEMBER 12, 2023
Historically, companies had two approaches to deriving value from data. Some companies used a grassroots approach, where individual people and teams mined their own data stores for insights as needed. Neither can handle the amount of data coming in from customers and internal operations. The problems with those approaches?
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InnovationManagement
FEBRUARY 16, 2022
Many people have said that 2021 was 2020 Part II, but IdeaScale looked at some of our system data (as we do every year) to see what we could learn, and there are a few key trends we think are different from 2020, and that we think bode well for a creative 2022. appeared first on InnovationManagement.
Jeffrey Phillips
JUNE 21, 2021
I am a huge fan of trend spotting and scenario planning. Most companies simply do not understand the insight and the power that developing and interpreting trends and scenarios can provide. Yet far too many companies don't do enough trend spotting and scenario development. Trends are everywhere.
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No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.
Sopheon
APRIL 18, 2023
With over 30 years of experience, Mike Bauer is a product and strategy executive who has managed and overseen more than 100 products across data communication, enterprise software, connected products, the Internet of Things (IoT), marketing automation, embedded systems, and big data.
Business and Tech
DECEMBER 27, 2021
Our panel discusses the biggest trends in cybersecurity, and what organizations and individuals can do to protect their data. . Which cybersecurity technology trends have you seen make the biggest impact in terms of improving data security in the last year? Know where your data lives. Protect the data you control.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
Speaker: Phil Irvine, VP & Director of Audience Intelligence
To accomplish this, organizations have traditionally leaned into historical customer and product data to predict how to engage with their current and future customers in a personalized manner. When you couple that with fluid data privacy changes, this creates an even fuzzier foundation to develop forward-looking marketing strategies.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Speaker: Hannah Testani, CEO of Intelligent Audit
It’s common to run into data overload throughout this process, leading to disparate systems, information silos, and the inability to navigate external challenges. The future of the supply chain industry will take the emotion out of decision-making by leveraging innovative technology to transform raw data into actionable intelligence.
Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino
We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.
Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor
In this session, participants will see how science data from such sources as NASA and NOAA, combined with local data inputs, can be used to both exponentially improve and accelerate net-zero carbon, climate positive and regenerative outcomes.
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