Based on IIA's new and updated research on organizing analytics teams, Research Advisor Bob Morison will review the objectives and variables of organizational structure and share examples of how enterprises are adjusting their structures to deploy and develop analysts effectively, incorporate new methods and technologies, address strategic business opportunities, and leverage the analytics ecosystem.Read more >
What is the cost to your business if you continue using spreadsheets or disparate reports and data sources? How many times have you waited for answers from the analytics queue, only for it to be too late to take action that impacts the business? We're going to show you a platform today that can bring your data and organization together that can give you those insights at the speed of business in a governed and secure way.
What you'll learn:
•The typical path marketing leaders take to solving the data and insights problem
•Best practices for getting to insights and business outcomes at the speed of your business
•The three stages of readiness: which stage is your business in today?
Analytics can mean different things to different people depending on their background, perspective, and organizational context and culture. For example, for some, analytics serves as the underpinning of organization strategy and innovation, while others treat analytics as an alchemy yet to be fully understood. Regardless of where you are in your analytics journey, there are a number of best practices that help frame the discussion of analytics value and position an organization for success.
In this presentation, we will talk about the five best practice areas of analytics and the importance of design thinking as a tool to help us design and deliver analytic products and services that create value for organizations.
A Design Self-Assessment Guide for Non-Designers and Business Leaders
More ML, AI, Data Lakes, and Data Viz alone is probably not going to delight your customers or enable your business to maximize the power of analytics. Brian O’Neill (Designing for Analytics) will help business and technology leaders learn how strategic product design and design thinking have a direct impact on turning data into actionable, indispensable insights and enable business objectives to be met. While there are many great data visualization and UI resources available today, this webinar is more focused on the topic of holistic user experience and the role that design plays in enabling delightful end-to-end analytics experiences that also deliver on the bottom line.
A free Self-Assessment Guide will be provided at the end of the webinar so that participants can evaluate current projects against the design techniques and topics discussed in the webinar.
Southwest Airlines is leveraging a growing team of analytics professionals, ample data, and state-of-the-art methodologies and technologies to create and sustain a strategic competitive advantage. In this webinar, Enterprise Data & Analytics Director, Doug Gray will address Southwest’s journey to date as well as future plans for the use of analytics, and highlight the organizational models, methodologies, techniques, and technologies being utilized. Two award-winning solution case studies will be highlighted: Fuel Supply Chain Optimization & Irregular Ops Recovery Optimization.Read more >
Marketing is increasingly becoming a data-driven function — tracking more activity than ever before — but how can you make sense of it all? What tools do you need? What roles do the marketer and the analyst or technical partner play?
Follow along with Periscope Data’s Head of Growth Marketing and our Head of Sales Engineering to get a full picture of how a data company handles marketing metrics — from the perspective of both the data analyst and the marketing professional.
This webinar will cover:
- Setting objectives and goals for marketing analytics
- Tying together disparate marketing data sources
- Some best practice dashboards Periscope uses
- How analytics and marketing should work together — and how analysts can enable marketers to explore their own datasets
Search and AI-driven analytics is vastly expanding the reach of data-driven insights by bringing ad-hoc data access to the masses. Anyone can easily find answers to their data questions, including those questions they may not have thought to ask.
Tune in to this live webinar as we show you what it’s like to be your own data analyst with advances in Search and AI-driven analytics.
Digital transformation is everywhere. It's in the networks of consumer data that tell a story of who we are and how we behave. It's in the bank branch or insurance agency that moves and shifts towards providing financial products through an online customer experience. It's in the palm of our hands as we text, swipe, and tap our way to faster answers and instant gratification.
Digital transformation is everywhere, and in order for businesses to benefit and stay competitive, they must join the advanced analytics game. Businesses will feel the biggest benefit and impact when they utilize big data, advanced analytics, artificial intelligence (AI), and digital decisioning technology to do the following:
– Automate operational decisions in real time with confidence
– Digitally transform their operations to not only impact business performance, but also, improve the customer experience
– Compete on analytics without extra headcount or hiring of data scientists
Through the power of data, machine learning, and digital decisioning technology, business users can quickly and accurately achieve the above business milestones — no data scientists required. From there the automation and digital transformation possibilities are limitless for creating a rich and seamless customer experience that will keep your business one step ahead of the competition.
Cloud analytics has great momentum and that is for a reason: it allows for real-time and live analytics without needing to prepare an environment. In this webinar you will learn how to apply SAP Cloud analytics using BusinessObjects Cloud and the Digital Boardroom. Be amazed by the easiness’ of use and the great visualization capabilities.
Iver van de Zand – SAP Analytics Leader – will provide a deep dive session on the modeling and visualization capabilities of this stunning product
Automation of everyday activities holds the promise of consistency, accuracy and relevancy. When applied to business operations, the additional benefits of governance, adaptability and risk avoidance are realized. Prescriptive analytics empowers both systems and front-line workers to take the desired company action – each and every time. And with data streaming from transactional systems, from IoT, and any other source – doing the right thing with exceptional processing speed embodies the responsive necessity that customers depend on.
This talk will describe how to enable prescriptive analytics – in current business environments and in the emerging IoT.
For CPGs and grocers, the challenge isn’t capturing consumer and product data - it’s learning how to pull out meaningful insights that can improve their bottom line.
In this follow-up to "How CPGs Can Use AI to Find Growth," we take a technical look at the advances in artificial intelligence and machine learning that are helping those in consumer insights, brand management, marketing, and more.
The challenge of managing millions of size and location requirements is overwhelming, and the results are not readily scalable with our given staff. While technology and vast amounts of data help create more localized assortments based on consumer preferences, product attributes and location performance, it’s nearly impossible to narrow the assortment management process to the size level with great accuracy.
J. Crew executives, Jason Nusca, Vice President Merchandise Information Office, and Pamella Lee, Vice President Allocation will join SAS Retail Solutions and Analytics Advisors, Donna McGuckin and Jason Gautereaux, to discuss how retail and wholesale organizations are transforming and enabling their teams to:
•Maximize omni-channel inventory to meet consumer size demand
•Make millions of item/location decisions accurately by size
•Transform business to meet winning omni-channel strategies profitably
•Identify the business value and build confidence enterprise wide
Best Practice on Leveraging Analytics to Improve Business Outcomes
How important are analytics in driving opportunities for your company?
It's a question more and more organisations are asking themselves as they struggle to transform their data into actionable insights in order to drive growth. And while businesses of all shapes and sizes aspire to make decisions based on data and analytics, most cannot visualise how best to achieve this. Our 2016 Enterprise Analytics Study explored the state of analytics maturity across today's leading organisations and uncovered the main challenges organisations are facing in their quest to become analytically driven.
Whether you're using analytics for finance, marketing, compliance, or supply, attend our webinar to learn more about:
1) The key findings from our 2016 Enterprise Analytics Study
2) The main challenges faced in using analytics to deliver a competitive advantage
3) A better understanding of how your analytics function compares
4) How you could be better leveraging analytics as a driver for growth
Plus a Q&A session with Dun & Bradstreet's own Chief Analytics Officer, Nipa Basu.
Every day, IIA helps analytics leaders answer their pressing questions. Hear from our clients how IIA helps them improve analytics performanceRead more >
Take a deep dive into omni-channel customer analytics as we address the common challenges of implementing a modern call center Quality Assurance program and how CustomerView, an omni-channel customer analytics platform can enhance your customer’s satisfaction, improve sales, and reduce churn.
What Attendees Will Learn:
• How to implement 100% agent QA and automate call scoring, script compliance monitoring, 100% NPS, and top agent performance modeling.
• How to unlock the important data within your contact center calls, web, chat, social media and other customer touch points to improve business performance and boost customer satisfaction.
• The costs and risks of not having a contact center agent quality assurance strategy.
• The complexities and limitations of legacy customer analytics systems.
To be an analytics driven organisation you need core competencies in a number of dimensions. Organisations/ companies have invested as the market has matured, and we are at a point where Predictive Analytical Models are now ingrained around many of our daily routines.
In this webinar, we will discuss:
· Common data challenges in predictive analytics
· Ways to build in technical controls (ex. rules-based engine)
· Best practice tips for not getting in trouble when launching an analytics strategy and using data
"Moneyball", the bestselling book and Hollywood movie, shows how the Oakland A's, a small-market team in Major League Baseball, have used data analytics to develop a "David" strategy to compete with resource-rich goliaths such as the New York Yankees. "Moneyball" has encouraged teams around the world to embrace analytics as a potential source of competitive advantage. Bill, a former consultant with the A's, has developed coach-led analytics with several teams in different sports in several countries.
In his presentation, Bill will share the lessons he has learnt on how to integrate data analytics effectively into the performance management process. He will argue that it is crucial for organisations to have a strong cultural commitment to evidence-based practice in which managers and analysts have a mutual respect for each other's contributions to the continuing search for the best ways to improve future performance.
Businesses are realizing the benefits of predictive analytics, especially when using the latest technologies in machine learning & AI. The prevailing methodology has been to train predictive models in order to determine which data is useful and which data is not prior to deployment. While training improves the predictive power of your predictive models, there are cases when training prior to deployment may not make sense for your business.
This session discusses how to determine when to train your models and how to effectively turn the insights from your models into action that improves business outcomes.
• How machine learning & AI can boost business performance
• How to determine when to train your predictive analytics models
• How to turn analytics to action through digital decisioning
Orchestration and automation theory has graduated to a concrete architecture for implementation. An action-driven architecture supports more proactive analysis and investigation for more effective detection, triage, investigation, and response.
The foundation of a successful security architecture in this model requires:
- Rich, trustworthy data covering all aspects of the environment
- Consolidated data sources and analytics processes
- Automated investigation and response capabilities
- Integration between tools and services for total coverage of every critical asset and data set.
In this webinar, we'll discuss how to build an action-oriented security architecture, key use cases, and critical success factors.
This webinar is part one of the Wire Webinar Series. We will be discussing how you can leverage Guardian Analytics behavior-based, real-time wire fraud detection solution to monitor all activities and transactions for each account holder allowing you to build a profile of each user’s typical behavior. Tracked activities include hundreds of elements from payment amounts, wire originators and recipients, plus online login, session duration, sequence of activities during each session.Read more >
In this webinar, Guardian Analytics Fraud experts will describe Same Day ACH BEC fraud scheme and explain how Guardian Analytics' machine learning and behavioral analytics patented technology can help you combat ACH social engineered fraud scheme.
The Same Day ACH Fraud detection is part of a four-part ACH webinar series that includes:
- ACH Kiting Fraud
- ACH Small Transactions Fraud
- ACH Payroll Fraud
- Same Day ACH BEC Fraud
Corruption dates back to the start of business but has come under greater focus in the last decade with enhanced enforcement of the Foreign Corrupt Practices Act. What has changed over time are the tools and more precisely, analytics, which can be used to detect bribery and other corruption schemes.
In this webinar, Fraud Analytics expert, Rich Lanza will explore this important topic and provide a roadmap for taking an analytic approach to root out organizational corruption.
• The top internal and external data sources to interrogate for corruption schemes
• How to identify the key red flags leading to corrupt behavior and how they present themselves in data
• The best ways to bolster any compliance program with data-driven prediction and decision making analytics
• The steps to complete a who, what, when, and where set of analytics to hone in on the specific corruption and bribery within your business processes
• The benefits of integrating and managing a continuous review of data sets to identify corrupt behavior
Join us Thursday, June 22 at 12pm EDT/9am PDT and learn how best to apply analytics to detect corruption and safeguard your organization.
Incremental improvements in supply chain operations are no longer enough in the competitive aerospace marketplace. Advanced analytics are key to enabling step-level changes, but developing and implementing those analytics requires an organization that can develop, implement, interpret and act on the same. This session will explore the challenges involved and how to address them. Discussion points include understanding what drives the need for analytics, what gets in the way and critical success factors. We'll also examine case studies on what can happen with 13 weeks, a motivated team and a value proposition.Read more >
Data leaders face a daunting challenge: implementing enterprise-wide data strategies that deliver tangible wins without sacrificing security, agility, and transparency. To successfully implement their strategies, they must approach this by deploying a solution that leverages existing investments while meeting changing organizational needs. We will discuss best practices for taking their data strategies through the last mile and how an Analytics OS makes it possible.
* Understanding of the need for an analytics strategy
* Best practices around implementing an analytics strategy
* How the needs of an analytics strategy tie in to the design of an analytics operating system