Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.
Artificial Intelligence and machine learning may no longer make the breaking news reports, but the way that these frameworks have been applied in the real world has indeed been impressive. Learn from cutting-edge data scientists and analysts as they guide you through new approaches for building the bridge between humans and machines.
Data can tell a story, but only if you can see it clearly. Learn from the forefront experts of data design and analysis as they explore how we illustrate data for our business and infrastructure needs, for business users to make a quick data-driven decisions and data scientists to further their knowledge of creating charts with R and Python.
Big data is bigger than ever and shows no indication of slowing down. Data analytics’ maturation has given business intelligence a great boost, allowing us to collect and analyze insights at rapid speeds. Join these expert sessions on Data Architecture, IoT Analytics, and Predictive Analytics to learn everything you need to know about the advancements in business intelligence and data analytics from this past year and what to expect in 2017.
In any revolution, there’s an eventual need for rules and regulations. It’s no secret that recent advancements in technology have created a data revolution in all of us, leading to a great heap of unstructured and structured data. More importantly, however, it demands modern data architectures that reach beyond in-house warehouses. Join this summit to learn what’s new in conceptual, logical, and physical data modeling, as well as, best practices in standardization and governance to help you build and manage a modern data architecture capable of handling any onrush of data.
It’s the Big Bang of big data; or where it all begins. The foundational first step in data analysis is data preparation. With the potential to derail everything that supersedes it, it’s imperative that the right measures are taken far in advance of any discovery analysis. Join these discussions to learn best practices in proper data cleaning, modeling, transformations and normalization for all data sets.
With today’s advancements in data discovery and data visualization, not everyone needs to have a degree in data analytics to navigate business-critical data on their own. However, creating and implementing self-service analytics is no easy task. Join this summit to learn what systematic tools and methods you can put in place to enable anyone to become a functional data analyst.
Data is not beautiful, data is ugly. What makes data beautiful is in its presentation. A thoroughly thought out design and construction of visualizations and discovery methods tells the better story; one that anyone can understand. Unfortunately, those don’t just come out of thin air.
In this summit, learn the best methods in visualization infrastructure, hierarchical layouts and data mining processes that transform the presentation of your data into something beautiful.
“Eighty-six percent of executives with experience in predictive analytics indicate the technology has delivered a positive return on investment,” according to Forbes. Unlike business intelligence’s ad hoc nature, predictive analytics is aimed to tackle the forward-thinking “what if/what’s next” questions businesses are asking of their data scientists and analysts.
Join this summit to learn best practices in optimization, predictive modeling, and forecasting for various data types to help your company predict their way to a better business model.
Many data professionals struggle with picking between Hadoop or Spark when it comes to Big Data frameworks. Being able to process large amounts of data is a challenge in itself, but finding the most efficient way to do so adds an extra hurdle.
Attend this summit to hear why our speakers have chosen the framework they work with, the pros and cons of each type, and gain insights on which might be the right path for you.
When it comes to the development lifecycle, data modeling is often the first step in planning and organising the requirements needed to develop the database. From managing, integrating and transforming data, join our panel of speakers as they take you step-by-step through the entire process and share tricks they’ve learned along the way.