Businesses today not only deal with more data than ever before, they’re also dealing with more requests around the personal data of consumers and employees than ever before.

Where workflow automation and accountability-focused tools may have worked for privacy programs of the past, intelligence and automation is the focus for privacy programs of the future. In this session, we’ll be going over the two facets of this problem
• How to discover, classify and automate your data processes to streamline records of processing activities
• How to deal with DSARs and automate the process to reduce manual labour, time taken, and frustration
• How to adapt consumer rights processes to employees

Data Observability (DO) is an emerging category that helps data teams identify, resolve, and prevent data quality issues by continuously monitoring the state of their data over time. This webinar covers how DO emerged within modern data teams, and then how you can implement it in practice today.

We’ll take a deep dive into data observability as a concept, starting from its historical origins (why it matters), defining the scope and components of DO (what it is), and wrapping up with actionable advice for putting observability into practice (how to do it).

When it comes to data analytics infrastructure, there are a wealth of options for storing and querying information. New technological approaches allow for more flexibility in cloud data management and are democratizing data for use across the organization. By stripping away data engineering complexity and lowering total cost of infrastructure ownership and maintenance, more and more organizations are unlocking the value of analytics at scale.

Even so, new terminology and overlapping functionality within different cloud data platforms can make the landscape difficult to navigate. In this session, we’ll dive into the latest approaches to analytics at scale and demystify them, so you can determine which is right for your organization.

Recently there has been a great deal of discussion regarding data democratisation, in particular the role it plays in creating and maintaining a data driven culture. In this webinar we explore the best strategies to delivering self-serve analytics in a controlled manner and the role data literacy plays in data-democratisation.

The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations and increased customer loyalty.

Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.

In this webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.

In this session, we will discuss:

• How to make the most of an increasingly comprehensive insights from an ever-growing data pool spanning the entire organisation

• What are the blind spots that hinder an efficient CX strategy and the creation of a truly holistic view of customers

• How to use data as a connector to bring disparate parts of businesses together to earn loyalty by providing a frictionless CX and pre-empting customer needs

What is Data Mesh? Join Starburst for a 30 minute introduction into this modern approach to managing analytics at scale. Data Mesh embraces decentralisation over-centralisation, meaning it allows companies to become more efficient in accessing and exploiting data as a core architectural approach. Learn more about the guiding principles with Andy Mott, Lead Solution Architect - Data Mesh, at Starburst.

An investment in data & analytics has the potential to deliver significant value to the business. However, there can be pitfalls when selecting the right initiatives to focus on, with the knowledge gap between data and business teams creating barriers around collaboration. In this webinar, we will look at the role of data domains, supported by data & literacy, to create bridges between business ambition and your data investment. Supported by case studies drawn from over 20 years of commercial data science experience, we will suggest a framework and approach for identifying, evaluating and prioritising high-impact initiatives to build momentum around a data-led transformation.

For greater success in the future, it is critical that brands ensure their Martech stack can effectively identify prospects in the early stage of the sales cycle, prior to landing on owned media channels, by taking ownership of their first party data and developing the ability to measure acquisition across media in the cookieless world. Join David Keens, Vice President of Product at Acxiom EMEA & Diran George, Senior Solutions Consultant at Treasure Data to discover how brands can implement a best in class end-to-end acquisition solution across strategy, analytics and technology to deliver customer experience beyond imagination.

In today’s world, the products that win are the ones that create the best experiences for customers. The previous marker for product success was simply functionality: 'It works'. But with millions of products available today, it’s not enough for a product to just work. Digital Product Analytics is what brings your business to the next level. During this webinar you will hear from Nutmeg how they use data to build great digital product experiences.

We will discuss:
- Why Digital Product Analytics is imperative to growth in today's digital-first world
- Advice from expert teams solving business problems through real-time customer insights
- Real-life examples on how Digital Product Analytics can help you deliver a better customer experience

Wherever you look, the consumer market is highly competitive: customers are strongly influenced by their experience with a brand, and as such their expectations of a seamless, personalised buying journey are higher than ever. On every step in the customer journey, companies collect data, but what stories do those data tell about their behaviour, experience and trust? How much value can you add to a buying experience through data? Are you able to predict, or even anticipate your customers’ needs? Can you use data to inspire loyalty in your customers?

In this webinar, Neill Brookman will discuss from a technical perspective how businesses can use all their data sources to :

-Build a unique, 360° view of each customer
-Cultivate trust and continued brand loyalty through real-time personalisation
-Optimise conversion and reduce churn by understanding and anticipating customer needs
-Add value to both brand and customer in every interaction

Companies must leverage digitalisation to become more agile and efficient. We will demonstrate how using graph analytics gives users a grip on their operational data and accelerates and improves their decision making in several domains such as supply chain, retail, financial services and manufacturing. We will also share how innovative companies such as Jaguar Land Rover adopt TigerGraph’s advanced analytics to augment existing supply chain management systems, allowing them to reduce operational disruption, increase site reliability, improve supplier relationships, and support plant operations in a cost-effective manner.

Join ZenOptics and Mike Ferguson to look why organisations need an analytics catalogue to maximise the value of business intelligence and analytics in a data driven enterprise. The webinar will discuss:
o Where are we in data and analytics today?
o What are the current challenges with analytical assets?
o What are the key requirements for maximising the value of analytical assets to create a data-driven enterprise?
o What is an analytics catalogue, and why do we need an one?
o What types of analytical assets should be available in an enterprise analytics catalogue?
o How do you use an analytics catalogue to optimize BI and analytics in the enterprise?
o Using an analytics catalogue to integrate analytical assets into core decision-making processes

In this session, you’ll learn:

• What a knowledge graph is and how it plays a salient role in supply chain
• How knowledge graphs and graph data science analytics are essential for a robust and flexible supply chain
• how various global companies are using graph technology from product 3600 to predictive maintenance and for “what-if” analyses for their supply chains.

Join us to hear how Lockheed Martin utilizes a knowledge graph for a 3600 view of their entire product lifecycle. We’ll also look at how Caterpillar combines knowledge graphs and machine learning for predictive maintenance and improving equipment lifespan. Finally, we will discuss the US Army’s use of knowledge graphs for what-if analysis to enable a more agile supply chain.

When you know, you know… right? This is the person. But what if you don’t know when or whether it’s them? That’s when graph plays its part. Entity resolution is an important concept in big data and it is the root of every successful knowledge graph. What is entity resolution, why is it such a powerful thing for every business to get right or wrong, and how is graph so well positioned to do it right.

Traditionally API governance has been viewed as a hindrance to growth and innovation. However, with more and more businesses moving to an API-first strategy, governance has become a key part of an enterprise’s competitive strategy. When done effectively, modern API governance strategies lay the foundation for a stable, secure and scalable business.

Join us as we discuss:
• What is API governance?
• How does a robust API governance strategy benefit your business?
• How can you implement API governance strategies within your organisation?
• What role can an API management platform (like Tyk) play in bringing these strategies to fruition?

You need product analytics. Practically every blog post is telling you that you should inform your product roadmap with data. However, the Medium posts and technology vendors don't tell you that product analytics is a cross-functional discipline. Using data for product decisions involves developing reliable business, technology, and devops competencies to turn data into insights. In this talk, Jeff Sloan will explore how Treatwell has taken a decentralized approach to product analytics, and how Snowplow Analytics enables Treatwell's product teams to self-serve their event tracking, reporting, and product analytics needs.

Data sovereignty, the concept that data is subject to certain laws, usually specific to geographies, is becoming more of a challenge for businesses as they scale across regions. However, compliance considerations apply not only to data at rest but also in transit. With consumer awareness growing, failure to meet compliance requirements can lead to huge negative implications to the finance and reputation of your businesses.

Join us for a panel discussion:
- What are some of the challenges businesses are facing with regards to data sovereignty?
- How do you set up and manage your data as you scale across regions?
- What tools and techniques can help businesses handle such an expansion while staying compliant?
- How is Tyk enabling organisations to be compliant with data sovereignty rules across regions?

Today's analytical graph databases are taking organisations to another level by connecting all their data, representing knowledge better, and obtaining answers to deeper questions in real-time.
These benefits extend to the world of machine learning and AI. This talk will illustrate several ways in which graph databases and graph analytics can deliver smarter AI:
• Unsupervised learning with graph algorithms
• Feature extraction and enrichment with graph patterns
• In-database ML techniques for graphs

Join us as we share client case studies from 7 out of the top 10 banks in the world, China Mobile, Xandr (part of AT&T), UnitedHealth Group, and Intuit Corporation. We will cover use cases including entity resolution, customer 360, recommendations, and real-time fraud detection.

The organizations that adopt DataOps produce robust and accurate analytics more rapidly than their peers, powering strategic decision making that gives them a significant competitive advantage. Although many companies recognize the benefits of DataOps, many struggle when it comes to building their own program. The options are to build a DataOps solution using multiple DevOps and workflow tools, or to adopt a DataOps Platform.

In this webinar, we outline the key components needed for a successful DataOps program, the tools that can help, and when to adopt a DataOps Platform.

Join us to understand how you can use graph-native machine learning in Neo4j to make break-through predictions. Previously only accessible to researchers and a very few advanced tech companies, Neo4j has democratized graph-based ML techniques that leverage deep learning and graph convolutional neural networks.

In this session, we’ll explain our new graph embeddings and demonstrate using the GraphSAGE embedding results with our new ML catalog. We’ll also visualize the predictions of different models using Neo4j Bloom.

Couchbase NoSQL has started small at Paddypower Betfair. From its early beginnings, as an alternative to our classic relational databases, it has grown into a full blown system that we rely on to deliver great customer experiences. In this webinar we’ll share facts & stats from our daily operations, showing you how we got from problem to solution in a variety of use-cases: creating activity reports for our operational teams, delivering such data when the sizing reaches millions of records and operating dual datacenter clusters.

Join this webinar to learn how SPAR utilized Trifacta’s data preparation platform to turn this massive data headache into a competitive advantage for their business. SPAR’s Head of International Operations, Tom Rose and Lead Data Analyst, Dharshini Manoharan will dig into the following topics during this webinar:
• How SPAR created a strategy to turn data bottlenecks into analytic opportunities
• What technology, people and process components were required for success
• Who utilizes data preparation within SPAR and where it fits in their tech stack

One of the highest priorities in organisations today is to address the issue of untrusted data which leads to inaccurate predictions, recommendations, reports and dashboards. In order to solve this, many companies are looking at creating a standard data curation process to create trusted data assets and make them available services in an enterprise data marketplace so that it is easy to find, access, share and reuse across the enterprise. This session looks at building an enterprise data marketplace, the key technologies needed and the challenges in operating one.

One of the highest priorities in organisations today is to deliver analytics business users can use. SAP upgrades can tend to be expensive and renewal maintenance can be time consuming. Join this webinar to learn about a simple way to reduce SAP annual support costs, get better response times and get insights from ECC and other data sources in days/weeks. Hear from Incorta's Senior Sales Engineer and VP of Sales, along with VP and General Manager, EMEA at Spinnaker Support.

The 4th Industrial Revolution Report is Independent research, commissioned by Big Data LDN that collates the opinions of 500 of the UK’s most influential data leaders. In this webinar we take a first look at this year's results and discuss their implications with members of our steering committee who helped to shape the survey.

Abhas Ricky, VP Business & Cloud Transformation at Cloudera, Andy Steed, Content Director at Big Data LDN and Paul Maher, Founder & CEO at Positive Marketing will discuss the 2020 report.

As stricter data laws are enacted across the globe and consumers exercise new privacy rights over their data, it’s more crucial than ever to find the best ways to find, manage, query, and action data. In this session, we’ll share tips on how to manage data in the organization, and how data discovery can help with compliance.
• Understand how to know where data lives within and outside of your organization
• Learn the security, governance, and compliance considerations for collecting, securing, and managing data
• See how data discovery can help with broader data governance

Modern businesses seeking a competitive advantage must harness their data to gain better business insights. When it comes to loading, transforming, and analysing data, the cloud changes everything. ELT is a fundamentally different approach to pre-processing data, in terms not only of architecture but philosophy as well. Today, as much data, from as many sources as possible, needs to be integrated into analyses. ELT leverages the power of the cloud and the data warehouse platform itself, to do data transformation at scale. Learn how moving from traditional ETL to cloud ELT can help you keep up with exploding data volumes, reduce coding and resource management efforts and help you become more data-driven.

This session looks at the emergence of Enterprise Data Fabric and its role in a modern enterprise. It firstly defines what enterprise data fabric is and why it has become strategically important in a multi-cloud hybrid computing environment. It also looks at the component capabilities that enable it and how these fit together to help connect to, simplify access, manage, govern and orchestrate the ingestion, discovery, cataloguing, cleansing, transformation, integration and analysis of data in a distributed computing environment. Finally it looks at data virtualisation and why it is a critical part of an enterprise data fabric solution.

In this panel debate 4 data leaders will be discussing the best ways to create a data driven culture. The panel will give tips on curating a Data Driven Culture, how to drive ROI and practical steps on getting started.
Speakers:
1) Zara Wells, Head of Data Culture and Transformation Programs at Looker @ Google Cloud
2) Alex James, Sr. Director EMEA Customer Success at Fivetran
3) Marco Tranquilin, EMEA CE Practice Lead, Data Analytics at Google
4) Andy Steed, Content Director at Big Data LDN

One of London’s leading airport’s Tableau journey.
Gatwick Airport struggled to create and access curated datasets at the right breadth and depth, not only for exploitation but also for reproducing management information that could easily be shared at scale. In the airport industry, spatial data is widely used to uncover new business opportunities but again the analyst community lacked the capability to meet this requirement. By deploying Tableau across the landscape, it has enabled Analysts to provision and prepare datasets for on-off and repeatable analysis for various use cases. In this session, Shariq will provide insight on the implementation journey so far and strategy for adoption that led to Tableau becoming the tool of choice.

The Big Data LDN Data Transformation Webinar Series showcases companies who have undergone a transformative business journey fueled by data. The format usually consists of a 15-20 minute presentation from the company explaining the business context of the transformation, the need for change, barriers and how they were overcome and finally why the project was deemed successful. Following this we would have a 15-20 presentation from the software partner(s) who helped enable the journey and we’d finish with 15 mins of Q&A from the audience.

In this webinar, titled Working Smarter using Data, we will be talking to Will Huntoon from Papier, the online gift retailer, about his Data Transformation story.

Speakers: Will Huntoon, Papier, Andy Steed Big Data LDN

As we return to work, it’s more important than ever that we make data-driven decisions to ensure the safety of our employees and are making the most of the abundance of public-facing data.
In this demo, we’ll be using Tableau to centralise and relate multiple datasets. By associating our corporate data with public data, we can come to a wholistic view of our current situation and judge next best steps to take to so that our workforce can return to the office safely.

Speaker: JP King, Solutions Engineer, Tableau
Bio: JP is a Solution Engineer at Tableau based in their London office. He is responsible for helping their customers get started with Tableau so they can see and understand their data.

Most commentators agree that migrating legacy data infrastructure, such as data warehousing, integration and transformation, into modern cloud-based architectures will significantly benefit both business and IT stakeholders. Many projects, however, fail to secure funding because their time to value is too long or uncertain.

This session outlines a business-centric approach to migrating to cloud-based data architectures which delivers stakeholder value 3 to 6 times faster than most alternatives, whilst significantly increasing the ability to make self-service, data-driven decisions and expand into areas such as advanced analytics. The approach itself is not tied to a specific technology stack but we will outline technologies that make this easier to achieve.
The result is happy, enabled business stakeholders who regard IT as a business enabler, not a bottleneck.

Join us for this webinar about graphs and how you can benefit from better insights in these uncertain times.

We will start by presenting how graphs can power the contract tracing use case that is so relevant in the battle against the COVID-19 pandemic. However, we will not stop there: we will focus on what can be learnt from this use case in other environments, and introduce the power of connected data to any kind of business.
Finally the discussion will aim to follow current hot trends like AI, recommendations, data science or fraud detection which are all dependent on an increasing understanding of the connectedness in our data.

As data sources continue to grow, so does the desire to pull them all together. From Customer Experience Directors to Inventory Managers, the fabled single view has been top-of-mind for anyone yearning to gain a complete, unified, at a glance picture.

Achieving it, however, has been a different story.

The traditional method of data integration through ETL is a mammoth effort requiring time, high costs and specialised IT skills. Moreover, it is inadequate to deliver timely results with the exponential growth in the volume and velocity of data.

That is until now...

Join experts from Triangle Information Management and Denodo, the leader in data virtualisation, as they share valuable insight and real-life examples of how you can achieve a single view of anything - inside of days, not years.

This 60-minute webinar, brought to you in association with WhereScape, will be split into 2 sections. The first 30 minutes features stories from the real-life projects, as Simon Meacher of Engaging Data tells us how he used Data Warehouse Automation to solve problems as a consultant at a variety of UK organisations. Then we see a live demo of the software in action, as we attempt to build a Cloud Data Warehouse in just 15 minutes.

The WhereScape community is seeing huge leaps in agility and productivity, as teams combine the gains provided by Data Warehouse Automation tools and Cloud computing.
Benefits include:
-Savings in money and resources on data projects
-Individual developers spending less time crafting bespoke data infrastructure and more time on delivery
-Standardised procedures and adoption of best-practice templates that democratise the data warehouse

No matter deep and robust your data platforms and your analyses are, if you can’t design effective, insightful charts that monitor or inform, your investment is wasted. Design thinking is an under-rated but absolutely necessary skill for modern teams. In this talk Andy Cotgreave will share theories and principles from the world of design, and explain how you, or your teams, should be applying them to data displays.

Andy Cotgreave is co-author of The Big Book of Dashboards, Technical Evangelist at Tableau, and host of If Data Could Talk. He has over 10 years’ experience in data visualization and business intelligence, first honing his skills as an analyst at the University of Oxford.

This presentation looks at how you can use cloud storage as a centralised data lake, load raw data into it, produce trusted data using scalable ELT processing, and then make trusted data available to:
• Data scientists to develop machine learning models
• Your cloud based data warehouse for access by business analysts using traditional BI tools
In addition it shows how business analysts can access trusted data directly in a data lake from external tables in a cloud based data warehouse or by querying the data directly from BI tools.

Talk 1: Learn how Punchh harnesses AI & Data Analytics to enable data-driven, AI powered customer experiences & customer lifetime value. The Punchh Loyalty and Engagement Platform, powered through artificial intelligence, guides consumers through their lifecycle from first-time customer to superfan, building meaningful relationships and dramatically increasing lifetime customer value.

Talk 2: There are many layers in a modern cloud data architecture, but two layers stand out because they determine success or failure: the cloud data platform and cloud data integration. Databricks & Fivetran partner to help data teams automate the integration of modern data sources to build operational analytics and machine learning applications.

In this Big Data LDN webinar we are looking at different approaches to Data Governance, a subject that has been brought into sharper focus in recent times.

Talk 1 - Nicola Askham. Minimal Data Governance: Demand for Data Governance is growing but in the current circumstances many people are being asked to implement Data Governance with little or no investment. In this talk we find out whether Data Governance on a shoestring can be effective and how you should go about it.

Talk 2 - Discussion with Tariq Bhatti, The Nursing and Midwifery Council

In this webinar, we will give an introduction into stateful stream processing with Apache Flink and show how it can enable you to build real-time, event driven applications. We will take you through the journey of enabling customer 360 / personalisation applications and building a dynamic fraud detection engine. We will present a few techniques and tips to use with Flink and elaborate on why Apache Flink is the perfect tool for these use cases. We will continue this journey by looking at what is needed to deploy a Flink application on the road to production, as well as updating on the recently released community edition of Ververica Platform.

Speakers: Nico Kruber, Ververica and Andy Steed, Big Data LDN

Alicia Frame, Lead Product Manager for Data Science at Neo4j, will demonstrate the value of connected data for improving your data science and analytics applications. We'll walk through valuable use cases for graphs in data science, and then getting started using a knowledge graph, to using graph algorithms.
Following this, Matthew Sellwood, currently a Product Manager for IQVIA, will share an open source project that makes use of the graph data science library for lead optimisation of molecules in drug discovery.

Migrating RDBMS Monoliths Into a Transformational Data Architecture.

In this webinar, part of our Technology Modernisation Series, we are looking at the business case for upgrading your RDBMS to a more current data architecture so as to meet the demands of modern applications. We’re delighted to be joined by Ankit Patel, Principle Architect, Datastax and Giuliano Altamura, Financial Services Business Unit Manager at Fincons Group.

Talk 1: Migrating RDBMS Monoliths Into a Transformational Data Architecture.
Talk 2: A series of real-life use cases of the technology from the financial sector.

Whether you are looking to establish a hybrid big data architecture with Cloudera Data Platform or looking at Databricks, Google Cloud Platform & Amazon EMR; this session provides practical insights on how to understand the pros and cons of each model and the risks involved regardless of public cloud vendors. Join Chris Santiago as he shares how a data driven approach can guide you in deciding which big data technologies will best fit the needs unique to your organisation and budget.
Speaker: Chris Santiago, Global Solution Engineering Manager, Unravel Data

In our next webinar we are joined by Jason Foster, CEO and Founder of Cynozure and Barry Green, CDO at Allianz where they will be discussing best practice on how to build an agile and iterative data strategy and team. During the joint presentation/discussion Jason and Barry will cover;

-Why a modern data strategy needs to be agile and iterative
-The journey required to create an agile and iterative strategy and team
-The best approach to understanding exactly how far you are in your journey and the pillars of an effective strategy

Both panellists will then be available for an interactive Q&A session, taking questions from the audience.