Don't Panic! It's Just Data

Telemetry data pipelines are designed to collect, process and transmit telemetry data from various sources towards a place where businesses can store, analyse and utilise it for better decision-making. 

Important for SREs, DevOps, ITOps, SecOps, DataOps and the wider tech professional, taking control of your telemetry data to address data challenges in a compliant and secure way should be a common goal for the modern business. 

In this episode of the EM360 Podcast, Analyst Kevin Petrie speaks to Tucker Callaway, CEO at Mezmo, to discuss:

• Understanding telemetry data pipelines
• Addressing data challenges with telemetry data
• Optimising performance and enhancing security with telemetry data

In an era dominated by the relentless surge of information, data has become the lifeblood of modern businesses and organisations. As the volume, variety, and velocity of data continue to escalate at an unprecedented pace, the role of data leaders has become increasingly pivotal. 

These architects of the digital realm are entrusted with the formidable task of not only harnessing the power of data but also steering their organizations through the complex and ever-evolving data landscape.

In this episode of the EM360 Podcast, Head of Content Matt Harris speaks to Niamh O’Brien, Senior Manager of Solution Architecture at Fivetran to discuss:

• Challenges faced by data leaders today
• Becoming GenAI ready
• The big opportunity for CDOs and their teams

Having a 360-degree view of your business means having a comprehensive and holistic understanding of every aspect of your organisation. 

It involves collecting and integrating data from various sources and departments to create a unified, real-time view. This panoramic perspective enables businesses to make informed decisions, identify opportunities, and address challenges across the entire enterprise.

In this episode of the EM360 Podcast, Head of Content Matt Harris speaks to Prash Chandramohan, Senior Director of Product Marketing at Informatica. They discuss:

• Having a 360-degree view of your business
• Driving great customer experiences
• Is your data ready for AI?

Web data extraction. The ability to transform any website into structured data.

Using a residential proxy network, companies have been able to fine-tune their data collection for a range of use cases - from threat intelligence and email protection to ad verification and market research. 

But why do companies need this now? How do the different stacks of data extraction work and how can you make sure which one works best for you? And how is AI being used in this technology to reach industry-leading scalability and reliability?

• Data extraction and why its a problem for companies
• The different stacks of data extraction
• How AI/ML should fit in to your data strategy

Product data that is clean, consistent and enriched with accurate information and descriptions gets results.

When your customers can easily find the products they're looking for you can expect sales to increase, product returns to all but disappear, and brand loyalty to continue to grow. The problem is, how do you consistently deliver this level of quality in a world of disparate data sources, data silos, and the burden of existing technical debt?

AI is a powerful tool that can strategically help this industry unlock the true value of their data and meet the increasing demand for better data. By automating data cleaning, enhancing data quality, and generating actionable insights, organizations can deliver more meaningful experiences to their customers while eliminating the clutter of irrelevant data. This technology accelerates the industry's journey towards data-driven innovation and customer-centricity, ultimately giving trust to the end consumer.

• Why “perfect” product data is so important
• Issues in the automotive industry
• What AI/ML means for those modelling and enriching product data

In today's data-driven world, where 90% of business decisions rely on data, harnessing the power of enriched data is paramount for organisational growth. This is where data enrichment for analytics comes in.

In this episode of the EM360 Podcast, Head of Content Matt Harris speaks with Andy Bell, VP of Global Data Product Management at Precisely. They discuss and discover how businesses are transforming their strategies by enriching their data with comprehensive demographic, industry, social, and consumer insights, enabling them to make profoundly informed and accurate decisions.

Explore how data enrichment revolutionises various sectors:

• Retail: Craft highly targeted marketing messages using precise customer profiling, identify lucrative markets, and pinpoint expansion opportunities.
• Insurance: Enhance policy pricing decisions with a deep understanding of a property’s proximity to diverse risk factors, ensuring more informed and competitive offerings.
• Telco: Optimize network planning and infrastructure rollout strategies by leveraging enriched demographics, property data, and detailed building footprints.
• Government: Pinpoint essential community services such as aged care, child care, education, and medical facilities, ensuring resources are allocated where they are needed most.

Tune in to the podcast and unlock the immense value of enriched data. Learn how this rich portfolio of data can fuel your analytics, empowering you to make decisions that drive unparalleled growth and success.

Fivetran automates data movement out of, into and across cloud data platforms. 

It automates the most time-consuming parts of the ELT process from extracts to schema drift handling to transformations, so data engineers can focus on higher-impact projects with total pipeline peace of mind. 

With 99.9% uptime and self-healing pipelines, Fivetran enables hundreds of leading brands across the globe, including Autodesk, Condé Nast, JetBlue, Lufthansa, Morgan Stanley and Pitney Bowes, to accelerate data-driven decisions and drive business growth. 

• The data space and how Fivetran fits in
• How customers are reacting to generative AI and ML
• Trends set to shake up the industry in 2024 and beyond

Data productization. The art of turning raw data into business-ready consumable data products. 

Applying product management principles to data management, data productization can connect your business objectives to data and stay ahead of the curve. 

But what things should you consider when building a data product? What challenges are likely to arise? And how can you effectively bridge the gap between data teams and business units to ensure the successful adoption and utilization of these products by end users?

In this episode of the EM360 Podcast, Analyst Kate Strachnyi speaks to Colin Brown, CMO at Revelate and Nicolas Doyen, CPO at Revelate, to discuss:

• Building a data product
• Ensuring successful adoption by end users
• Technologies shaping the future of data productization

What is the relationship between product content and customer experience?

A symbiotic one, say experts, but what technologies need to be implemented and how can companies bring in new tools to eliminate their digital debt?

In this episode of the EM360 Podcast, Analyst George Firican speaks to Derek Corrick, GM of Data at Pivotree and Justin Anovick, Chief Product Officer at Syndigo, to discuss:

• The relationship between product content and CX
• Leveraging AI/ML and how that impacts clients
• Best practices for solid content strategy

Corporate Performance Management (CPM) is a set of processes, methodologies, and tools used by organisations to measure and manage their performance and achieve their strategic objectives. 

CPM encompasses various activities that help businesses plan, monitor, and analyze their performance against key performance indicators (KPIs) and targets.

But why is it so important? How does this technology interact with other business functions? And how can companies get started?

In this episode of the EM360 Podcast, Analyst Doug Laney speaks to Arthur Forbus, Managing Director and COO at HollandParker, to discuss:

• CPM and why every company needs it
• Misconceptions around CPM
• How to raise your CPM game