The worlds of marketing research, data science and analytics now intersect in myriad ways. Constructing a team with the necessary skills and ensuring the best support systems, processes and organizational structure is in place is an enormous task.
This webinar series aims to help insights leaders work through these various issues.
Expert practitioners will detail their experiences and share their successes and failures. In so doing, attendees will be able to compile best practices, guidelines and advice to better understand how to include data analytics in the insights process.
If you are looking to:
- Add to your analytics capabilities with new tools and techniques
- Process an increased analytics workload by hiring internally or contracting out
- Integrate with other analytics teams within your organizations
- Build a new analytics department from the ground up
This series will provide needed information and advice.
- Providers of market research who must be equipped to incorporate data science and advanced analytics into traditional marketing research.
- Corporate insights leaders intent to cement their standing as the go-to source for actionable insights by mastering the integration and analysis of all meaningful data streams.
Cost: Each Webinar is $35 for Members and $75 for Non-Members. The entire series is $95 for Members and $195 for Non-Members. Get details for each by clicking on titles below.
This series is moderated by Chris Robson of Deckchair Data.
Before you can determine your data analytics needs, you need to understand the ways it can truly improve and enhance the insights process. What types of research? During what stages in the process? We’ll answer these questions and help you understand how data analytics can help you merge disparate data streams; how it can extract deeper insights from findings; and how it can be used to breathe life into dormant data and older surveys and stagnant tracking studies.
Presented by: Bill Bean, Industry Consultant & Chris Diener, the Analytics Team
What’s relevant to enhance insights, where is it, how do you access it & what do you do with it once you’ve got it?
Learn how to locate, assess, manage and integrate available behavioral data from clients, Ad/MarTech, LiveRamp, and more.
Presented by: Melanie Courtright, Dynata & Ksenia Konkina, Engine
It’s imperative to construct your analytics system in a modular and flexible manner such that it allows for different tools to be implemented while ensuring integration of these tools as needed. For example, output of an Alteryx workflow can be easily visualized in Tableau and Tableau integrates well with R. Your architecture needs to be thought through before you can select your tools. The architecture needs to include tools to address the entire data management lifecycle from data collection, data science and analytics to data reporting/visualization. This session will cover data analytics architecture (including some examples of tools for each component of the architecture) and data governance.
Presented by: Janak Kalaria, ICF
Python and R are the new languages of data. Even if you are using proprietary tools such as Tableau, SPSS or Alteryx they all support R and Python for data manipulation. So, whatever you choose, if you or your team are going to be working with data you will need to bring these skills in-house. Which ones are best equipped to handle your insights needs? You’ll get an objective assessment of the top tools here, with pointers as to how you and your team can get started.
Presented by: Chris Robson, Deckchair Data & Elea McDonnell Feit, Author "R for Marketing Research and Analytics"
Considering the wide array of available data analytics tools and techniques and the high demand for workers who have mastery of them, building a data analytics team is a daunting task. Do you focus on educating researchers already on staff? Seek new hires? Outsource the work or retain a consultant? This session will help you take the first, needed step: establish a Data Strategy. In addition, advice will be provided to help you along a variety of potential paths: Training, Employee Recruitment, Vetting of Consultants and more. We’ll also address organization / management issues re. how analytics integrates with insights and other analytics functions.