Lee Hermon, Sisense Engagement Manager and Adi Azaria, Sisense Chief Evangelist
Businesses today already know that visualization in business intelligence is an essential part of competitive success. Yet, too many organizations are falling behind because of the inability to keep up with demand for information. One mistake is thinking that self-serve data visualization is all they need when setting up a self-service BI environment.
Debunking the common myth, we will explore why data visualization IS NOT self-service BI. The only way for Information workers to become more self-sufficient is by having a BI environment that is more usable but also more consumable. It is these two themes—usability and consumability - that play crucial roles in a fully functioning self-service BI environment. Using modern IoT technologies, the modern business can expand access and consumability of data by engaging the human senses of sight, sound, and touch.
Join Lee Hermon, Sisense Engagement Manager, as he explores the limitations of current Self Service Visualization models and Adi Azaria, Sisense co-founder & Chief Evangelist as he introduces how IoT in Business Intelligence is changing the game.
Howard Dresner, CRO, Dresner Advisory Services; Noel Poler, CTO, EREA Consulting; Ani Manian, Head Product Strategy, Sisense
The data landscape is constantly evolving, and the proliferation of smart devices, machine learning, and embedded analytics promises to introduce many exciting new breakthroughs in business intelligence in 2017. Join our panel of thought leaders to discuss their predictions for BI in 2017.
Ani Manian, Head of Product Strategy, Sisense and Philip Lima, Chief Development Officer, Mashey
So you’ve decided you want to jump on the data analytics bandwagon and propel your company into the 21st century with better analytics, reporting and data visualization. But to get a BI project rolling you usually need the entire organization, or at the very least the entire department, to get on board. Since embarking on a BI initiative requires an investment of time and resources, convincing the relevant people in the company to take the leap is imperative. You’ll need to construct a solid business case, defend your budget request and prove the value BI can bring to your organization.
In this webinar you’ll discover:
- Why organizations need to invest in BI to begin with
- How are organization deriving value from BI
- How to build an internal business case for investing in BI
- What are the intricacies of how to build a budget
- How to drive your company to a purchasing decision
- How to start realizing value from BI now
In a world run on data, analytics has become a fundamental part of everything we do. Embedding widget-level analytics into apps, webpages and tools opens a world of product differentiation, greater product adoption, and improved user experience. But you don’t need a data warehouse or a ton of IT or BI resources to implement a best in class embedded analytics solution. With the right tools, you can build flexible data products that don’t require additional infrastructure costs or data prep.
Boris Evelson, VP Principal Analyst at Forrester Research & Sisense Head of Product Strategy, Ani Manian
Organizations are growing their data environments up to 50% a year, in both size and scope. Yet only a fraction of this data is actually being translated into actionable insights and better decision making. So how do you achieve actionable insights from your BI?
Translate growing data into actionable insights and better organizational decision making
Uncover the latest discoveries in BI, Agile BI, big data and artificial intelligence
Discover best practices for merging business and technology management, to receive valuable insights from your BI
The “Old” world of BI, with its IT centric solutions, OLAP based reporting, and limited ad-hoc querying, has a lot of shortcomings that inhibit self-service BI. Yet, with increasing data complexity has come a new age of BI that is focused on taking strides to provide faster, more data driven and integrated solutions to try and empower the business user.
Join Ani Manian, Head of Product Strategy at Sisense, as he explains the old and new trends in data analytics, and how you can make sure you benefit from a more business-centric world. You’ll learn how to set up meaningful KPI’s, model data according to specific business needs, and work interactively with business users to prototype relevant reports.
Data exploration is the first step in data analysis and typically involves summarizing the main characteristics of a dataset. It is commonly conducted using visual analytics tools.
Before a formal data analysis can be conducted, the analyst must know how many cases are in the dataset, what variables are included, how many missing observations there are and what general hypotheses the data is likely to support. An initial exploration of the dataset helps answer these questions by familiarizing analysts about the data with which they are working.
Join Noam Engelberg as he walks you through the 5 best practices for Data Exploration in preparation for Data Modeling.
Jared Lander, Data Scientist and Author of "Getting Started with R: Advanced Analytics and Graphics" and Evan Castle, Product
Learn how to use a growing library of R functions and advanced techniques for deeper statistical and predictive analysis.
Join Jared Lander, the man behind "R for Everyone: Advanced Analytics and Graphics", and Evan Castle from Sisense as they illustrate how R can be used to solve real life business problems.
In this webinar, you'll learn how to:
Predict critical business outcomes
Easily build statistical models in Sisense
Create interactive dashboards using practical statistics
Information optimization is a new focus in the business analytics market. Join Tony Cosentino, VP and Research Director with Ventana Research, as he outline the 3 best practices that will ensure your organization gains full value from its investments.
Craig Aspinall will finish off by presenting the Jack Doheny Companies' Case Study on how creating a data-driven culture saved Jack Doheny Companies $120 million.
Peter Krensky - Research Analyst at Aberdeen Group and Jeremy Sokolic - VP Product at Sisense
Aberdeen’s research shows that the answer to complexity is simplicity. User-friendly analytics pave the path from data collection and preparation through to analysis and final presentation. Easy-to-use tools empower users with intuitive interfaces and mitigate the need for coding and IT assistance. This webinar will examine findings on users with the right tools to prepare, analyze, and visualize complex data and also showcase the analytical practices of Best-in-Class organizations (the top 20% of performers).
Data environments are growing exponentially. Not only is there more data, but there are more data sources. At the same time, the value of unlocking that data and using it to make business decisions is also increasing.
For the business user, understanding this complex data and unlocking its potential is the key to staying ahead of the competition.
For IT organizations, complex data can be the bane of many business analytics programs, causing all kinds of trouble in data management and hindering system performance.
Size of data and number of disparate data sources are two key drivers of complexity. The bigger the data, the more effort needed to query and store it. The more data sources (data tables) the more effort that is needed to prepare the data for analysis.
The data complexity matrix describes data from both of these standpoints. Your data may be Simple, Diversified, Big, or Complex. When considering a Business Analytics program, different approaches are better suited for each data state.
Frost & Sullivan’s Senior Research Analyst, Rahul Vijayaraghavan
Presented by Frost & Sullivan’s Senior Research Analyst, Rahul Vijayaraghavan, and Sisense’s Hall McMillan and moderated by Sisense Marketing Director, Michal Wachstock, this webinar will discuss the next generation of Business Analytics challenges, requirements and solutions and how Sisense has carved a niche in the Big Data and analytics market.
Join the webinar to learn:
Current industry challenges and opportunities
Business impact vs. customer impact
Decision support matrix
Understanding data modeling can help you get the best insights out of your data. The challenge of data modeling is to understand how to work with complex data in order to standardize, structure and optimize data to gets accurate insights quickly.
Trupanion, one of North America’s leading providers of pet insurance, has taken its BI to the next level by displaying dashboards on TV monitors across the entire organization.
The results: more transparency, accountability and better team motivation.
Messy data can be a nightmare to analyze. Join Sisense Co-founder, Adi Azaria, to discover how to transform disparate data sources into a single source of truth without spending tons of money on EDW software or bothering IT.
The Sisense platform has seen two major upgrades recently. See what’s new and get a feel for the latest release of Sisense.
The Webinar is relevant to both customers who want to see the fancy new features and non-customers who want to discover what Sisense can do for them.
Dashboards enable people to visualize things which are not obvious, draw accurate conclusions and point decision making in the right direction. But what does it take to communicate effectively with data?