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.
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.
The Internet of Things has taken the world by storm, but many are still wary about what it means for the next five years. It has allowed data scientists to pull machine data from many other platforms for easier and quicker analysis. Listen to our experts as they share their insights on the many opportunities that the IoT brings, as well as how to overcome the new challenges analysts may now be faced with.
From data mining, reporting and ultimately ensuring data quality and analysis, the information management lifecycle allows businesses to gather data and provide value to key stakeholders. Join Business Intelligence and analytics luminaries as they share techniques on using information in the most optimal manner to make the right decisions.
With massive amounts of data comes the challenge of being able to present and communicate these findings in a clear and relevant way. Going beyond basic charts and graphs, attend this summit to learn how top analysts and data professionals are building visualisations that help generate actionable insights quickly and efficiently.
Allowing businesses to secure competitive advantage and make smarter data-driven decisions, predictive analytics has cemented itself as an integral part of any planning strategy. Attend this summit to learn how experts from different industries have used techniques in statistics, modelling and big data interpretation to get ahead of the game.
It's been a big year for big data. From the boom in predictive analytics to the challenges of unstructured data, our speakers will tackle these issues head on. Tune in to hear from business intelligence and big data professionals on what they've learned this year and how they're preparing themselves for what's to come in 2016.
Explore the best practices of data classification, time to analysis and general data management. Listen to the top names in the industry as they detail the steps you need to take to implement a holistic data management strategy.