Bringing data and analytics into the decision making discussion is vital. Education is necessary in order to build a common language where there is competence in analysis from customer service to sales to marketing. As painful as it may be to say sometimes the emerging technologies are still just buzzwords outside of the data and analytics office. While there is a definite acceptance to the concept of a data driven culture, being able to clearly demonstrate the ROI of specific projects and initiatives remains both important and tricky at the same time.
In this session:
•Ensuring data literacy throughout the organization
•Requisitioning with a demonstrated return on investment
•Showing cost savings through implementation
•Increasing employee productivity and efficiency
As the field of data and analytics grows, women are drastically underrepresented with just about 25 percent holding data science positions. Explore creative and resourceful ways organizations are working to achieve greater diversity and to close the gender gap.
In this session:
•Motivating, upskilling and retaining diverse talent
•Exploring innovative ways to fill the talent gap
•Removing inhibitors and transforming the marketing of data and analytics
How are data leaders applying best practices to managing the data supply chain, empowering stakeholders to collaborate, and sharing trusted data throughout the organization? Discuss how the industry is successfully automating data lineage and governance, creating transparency to build trust and accessibility, reducing 100’s of hours of time to find and deliver data down to minutes – all while staying compliant.
In this Session you’ll discuss how to:
•Trust and deliver data across multiple BI platforms
•Manage the wake of data redundancy left behind from data prep tools
•Assure data privacy in the modern BI environments
•Effectively buy and use 3rd party data
•Collaborate, rank, and recommend data
•Harmonize multiple compliance regulations on the same data
Growth of Self Service BI has generated a lot of dashboards, but "lots" does not always mean "good" or "useful".
With terabytes of data created daily the critical role of the CDAO is given; what is not as well established is the technical expertise required, how much data governance is needed and exactly what the role entails or the precise reporting structure. As the CDAO role continues to change and grow in importance- collaboration and agility are of paramount importance in the journey of being an effective data executive. The CDAO needs to lead by example how data and analytics can lead the organization as a competitive force that adds value. Proactive CDAOs are trying to prioritize focus and actually execute while getting as close as possible to a recipe for success in an evolving space:
· Maintaining compliance while accelerating innovation
· Defining the role’s importance and collaborating in the C-Suite
· Providing metrics to communicate successes to other stakeholders
· Instilling a data-driven culture which empowers digital transformation
· Success depends on the success of other
· Recognizing unique organizational levels of complexity
· Demonstrating value while innovating for sustainable success
Leveraging the optimal balance of innovation, ethics and governance
A 2019 research report by VentureBeat showed that over 87% of data science projects never make it into production. While there are a number of reasons for this high failure rate, lack of resources is a key issue. In fact, a 2018 report by LinkedIn, showed a shortfall of over 150,000 people with Data Science skills in the US alone. Join dotData Data Scientist, Chi Zhang as she discusses the state of data science and its impact on AI and Machine Learning, and how automation can help organizations scale their data science practices - ranging from accelerating feature creation to optimizing machine learning models and pushing them into production.
Sometimes your most costly data and analytics issues are hiding in plain sight! Although most organizations invest in data quality and governance, people and process have the most profound impacts. Use this knowledge to advance the quality maturity of your data and analytics organization, improve the ROI of initiatives, and expand profits.
Attendees will learn:
The world has changed overnight. Traditional AI, business analytics, and strategic planning haven’t prepared you for these unprecedented times. Your old assumptions and ways of doing business are suddenly out-of-date. How does your business navigate these turbulent times?
Join us to learn how Aible delivers AI that enables your business to plan collaboratively, flexibly operationalize at scale,, and adjust to rapidly changing market conditions. See how Aible can help you make smarter data-driven business decisions at a time when you need them most.
Using customer analytics and behavior can be a scattershot for many companies. The consumer landscape is driving further towards personalization in the user journey, In this session, we will explore the fundamentals of the customer lifecycle and map that to algorithmic applications. Examples will be demonstrated along the way and a roadmap provided to help any business get started.
In this case study, explore deep learning including ways to achieve long term gains, strategies for detecting fraud, simulations for product tests and methods to increase campaign revenues.