For decades, data & analytics has existed within many companies as an endpoint — a cost-center to be reduced. The best companies know better — positioning their data and analytics teams at the center of their products as an asset in which they invest. Data isn’t an endpoint, it’s a jumping-off point. Design your data strategy to:
Put data at the heart of your business to drive your company’s product roadmap.
Sensor monitoring systems, like smart meters in utilities, have provided companies with an abundance of data. This data can help drive decisions or cause frustration. Unify your data to create actionable insights. Create a plan to:
Transform your organization by gaining insights through analytics
You know that data is vital to your success. But you also know that complex data—coming from diverse sources, collaborating with others across multiple functions, and generating new insights from data --- can be difficult. Join this session to learn how to:
Source practical tips to bring this to life while watching a real live demo that will be included in this session.
Selecting the appropriate technology to support a big data initiative is no small undertaking. Discover the appropriate tools to fit your needs and your budget. Source best practices to:
Gain insights into the technology needed to develop your big data capabilities.
In a study conducted last year, 57% of companies surveyed identified Hadoop skills gaps as their biggest challenge in accelerating Big Data Initiatives. Explore how IT can leverage tools to speed up Big Data Adoption.
Walk away with Best practices to onboard business data quickly onto your Hadoop infrastructure
A successful big data program needs support across the organization, from front-line workers to senior management. Gain traction for big data by conveying the value to your stakeholders. Get insights on how to:
Build support across your organization for big data programs.
Data debt is the primary challenge in measuring your company’s performance management. Big data and analytics is an excellent way to grow your business, but also your data debt. Learn how you can minimize or eliminate your existing data debt, take advantage of the big data and analytics revolution, and accelerate your company’s performance management to move your company to the next level. Your “Goodie Bag” will include instructions for:
Go back to your Organization with the necessary tools in hand to ensure that you’re doing what’s right for you.
Location plays a critical role in analyzing marketing data—from determining store sites and where customers live to monitoring how people move through a street network in order to improve marketing campaigns on the ground. This session will explore the role of geography as an aggregator and integrator of disparate data—customer, store, movement—to help you gain efficiencies and market more effectively. You’ll learn the importance of geography in your data, the role of big data as it relates to place and how to leverage customer data in exciting, new ways, such as the use of mobile phone geographic data to analyze trade areas.
Predictive Analytics has the greatest potential to transform your business, but many organizations face challenges that prevent them from realizing its full potential. Advance your organization Predictive Analytics by utilizing Big Data solutions to unleash your organization data and take full advantage of all the benefits of the Predictive Analytics era. Master the success factors to:
Municipalities have limited resources to deliver services to their citizens. Combine data from multiple sources to identify where best to use your resources. Acquire solutions to:
Deploy data analytics to hone your customer service.
Organizations requiring analytics competency need to evaluate the maturity of their analytics efforts and to improve it. A data science maturing model is presented and during a case study we explore:
Take away perspectives on data science maturity and examples to improve it.
Big data is changing the way organizations store, capture and enable data. The addition of analytics to the big data landscape allows organizations to more effectively drive business insight and value from the data stored in data lakes or data hubs. In this session you will learn:
Extract business insights from your data.
Big data is a fast-moving field. Stay on top of the latest trends and identify emerging opportunities for your organization. Gain insights on how to:
Stay ahead of new big data trends to develop your competitive advantage.
According to a recent study 44% of respondents aren’t sure how to approach big data. The fact is many like you are not alone with your concerns.Transform your business to ensure your data provides the greatest value to you. Adopt best business practices to:
Let Dell EMC simplify and provide the best capabilities for your Big Data journey.
Don’t miss this exclusive end-of-day gathering with conference speakers and attendees! Unwind, mingle and build relationships that will benefit you in the years to come.
The majority of analytics being used in today’s businesses are vertical “in-lane” analytics that serve specific business units and a functional purpose. Employ horizontal journey sciences to tap into the full power of your organization’s data and better understand the experience from a customer’s perspective. Empower your company to:
Source tangible ways journey sciences have been employed to drive organizational value in organizations like yours.
Numerous industries are experiencing multiple challenges such as declining return on equity, expanding regulatory requirements, demanding customer requirements, and growing non-traditional competition. Learn how leading organizations are starting to use Cognitive to redress these factors while harnessing the ever-expanding deluge of internal and external data:
Take away real world case studies and approaches to help start your cognitive journey
A lack of data scientists and analytics professionals prevents organizations from realizing the full potential of big data. Develop a strategy to overcome this skills shortage and assemble your big data team. Create a plan to:
Overcome the skills shortage to develop an effective big data team.
The program will divide into two specialized tracks. If you’re looking for technical information about big data systems, join the “Technical” track. For actionable strategies to drive business value, take in the “Business Use” track
Across mobile, cloud, social media and sensors, businesses can wring value from massive amounts of structured and unstructured data. Simply collecting the data is not enough. In this talk, you’ll learn how to:
Make data a central part of your business strategy
A big data and analytics program needs to be supported by technology. Create a strategic plan to develop your organization’s technical architecture. Create a plan to:
Provide your big data program with the IT architecture needed to be effective.
Getting your data into a data lake is easy, but gaining insightful discoveries is difficult. Using modern BI on top of your data lake, you can accelerate these discoveries. Learn how you can arm not just your data scientists, but data experts and data analysts with the power to interactively analyze your data lake.
Most organizations seek to unlock the promise of big data, yet few succeed because they underestimate what is required. Fast track your learning through the experience of one of the world’s leading sports and entertainment companies. Create a blueprint to:
Discover how your organizations can apply lessons learned.
Since the inception of Hadoop, SAS has tightly integrated our development to allow organizations to maximize the value of their data in Hadoop through the use of analytics. With the ongoing adoption of Hadoop and other Open Source projects, it’s important for organizations to grow and innovate. In this session we’ll walk attendees through:
Gain insights on Open Source and Hadoop from the enterprise level
Is data driven business viable for everyone, and if so how? This session takes a look at the state of BI and analytics adoption, and how organizations could enable every stakeholder with data driven business. Data discovery and visual analytics have opened the door to some, but not everyone has the time or skills to explore data with tools. 70-80% of your business universe are currently left in the analytical cold - surely a missed opportunity? What is Big Data’s role? Can ‘Smart BI’, narrative, embedded, operational BI and automation increase adoption and the value of analytics? Let’s take a look!
The Internet of Things is connecting our homes, communities and cities – and, in doing so, is creating vast amounts of data. Explore real-world IoT in communities like yours and see how this evolution will translate into smart cities. Create a plan to:
Realize the potential of IoT, smart communities and smart cities to improve quality of life for your constituents and create new business opportunities.
In the past 18 months, the use of machine learning, streaming analytics and Spark has grown dramatically in the enterprise. This session covers the architecture, technology, and impact of 7 use cases in public transportation, oil and gas exploration, loyalty and customer engagement in loyalty systems, high tech manufacturing, and real-time inventory control and logistics. We will explore the design and architecture behind streaming analytics of GPS and sensor data and predictive route optimization for a major public transportation system in depth
Customers today have an increasing number of ways to interact with businesses and have high expectations that business are in tune with how customers want to interact. Adapt to the new digital world by bringing their stories to life to create improved customer experiences. Adopt industry leading practices to:
Come join and learn how you can gain an unprecedented understanding of your customers.
You have built your Big Data facility, but the data scientist is the only person who can work with it at the moment. Democratize your big data via organizational and technological improvements. Create a Big Brain for your Big Data to:
Take away experienced perspectives to maximize return on your investment into the Big Data facility.
An analytics program is only as good as the team that supports it. Ensure the success of your program by assembling a team of analysts, data scientists and others with the right skill sets. Develop a strategic plan to:
Develop a plan to assemble your advanced analytics team.
Transitioning from a data warehouse to Hadoop opens up new opportunities for data processing, but the migration process is not without challenges. Anticipate these challenges and respond to them to minimize disruptions to your operations. Source expert insights on how to:
Migrate your data to Hadoop while minimizing disruptions to your operations.