Don't Panic! It's Just Data

The data analysis landscape is on the precipice of a paradigm shift. Generative AI (GenAI) promises revolutionary insights, but traditional systems struggle to feed its insatiable appetite for well-structured data. Imagine GenAI as a high-powered engine – it needs meticulously organised fuel to reach its full potential. In this episode of the EM360 Podcast, Analyst Christina Stathopoulos guides De...

Cloud-native is the new gold rush for businesses seeking speed, efficiency, and innovation. But are you getting the most out of your investment? Legacy troubleshooting and observability tools can be hidden anchors, dragging down your developers' productivity. The result? You're not reaping the full benefits of cloud-native, and your competitors are leaving you in the dust.  Chronosphere, a le...

Intelligent document processing (IDP) is a technology-driven approach that automates document processing and extraction of valuable information. While handling structured data is considerably straightforward, processing and analyzing unstructured data is laborious. IDP equips users with the ability to process a multitude of document types, including PDFs, spreadsheets, and Word documents, among ot...

Rainfall. Temperature. Humidity. Natural disasters. Human methods of reading and predicting weather can be tracked all the way back to native tribes and ancient civilisations - and it’s still prevalent in the modern world today.  Whether (no pun intended) it’s an agricultural organisation looking to leverage precipitation data for planting schedules, energy companies looking at temperature tr...

Maximize business value with data products — they incorporate essential data and related capabilities to meet key business objectives.  Data products contain datasets, related metadata and a wide range of functionality to understand if data is fit for use. But unlike relying on a raw dataset or data pipeline to generate value, data products deliver a comprehensive, packaged solution that enab...

Data access is a critical aspect of how businesses manage and leverage their data to drive decision-making.  With large volumes of data from various sources, it’s important that enterprises have a strategy in place to make the accessing process faster and more efficient while remaining compliant, secure and accurate.  In this episode of the EM360 Podcast,  Christina Stathopoulos , F...

The data lakehouse has been quickly gaining popularity within the data management and analytics space.  Combining elements of data lakes and data warehouses, the data lakehouse aims to address the challenges associated with both in a way which helps companies reach their data and business goals.  In this episode of the EM360 Podcast,  Christina Stathopoulos  speaks to  Rea...

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 c...

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 d...

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 e...

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 ma...

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...

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...

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 bran...

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 th...

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 Prod...

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 technol...

Is the modern data stack dead? How can you better leverage your MDS? And how can you stay ahead of the curve in a market which is seeing more and more new trends emerging constantly? These were questions posed at the recent Modern Data Stack Roadshow; Fivetran's follow-up to the successful Modern Data Stack Conference. These half-day events convene top industry experts to discuss how to drive impa...

External data integration is crucial for organisations seeking to enhance their understanding of customers, markets, and industry trends. By leveraging data from external sources, businesses can gain valuable insights, make informed decisions, and identify new opportunities. But what challenges arise when implementing external data integration, and how can companies navigate some of the common pit...

Moving from an on-prem infrastructure to a frictionless cloud model has become a key goal for many companies.  From scalability to improved security, as well as cost-saving benefits, moving to the cloud bring a lot of benefits. But what challenges are enterprises facing in their migration, and how can this process be made easier? In this episode of the EM360 Podcast, Analyst  Susan Walsh...

Data pipeline automation is revolutionizing the way organisations handle data.  This new approach to data management is challenging the traditional modern data stack, which relied on a series of disparate tools to handle different aspects of data processing. With data pipeline automation, organizations can simplify their data stack, relying on a single tool to manage the entire process. ...

Frictionless commerce is the ability to seamlessly find customers, establish trust, and transact and deliver products without any hiccups. However, enterprises face three significant problems in achieving frictionless commerce: getting the right data, managing tech debt, and ensuring data interoperability. And much like the old children's book "I Know an Old Lady Who Swallowed a Fly" - each proble...

Data management is essential for retailers to manage their data effectively to gain valuable insights into customer behavior, preferences, and purchase patterns. By doing so, retailers can make data-driven decisions and improve their operations, sales, and marketing strategies. However, managing data can be challenging for retailers due to the volume, variety, and velocity of data generated by mul...

In traditional data architecture, data was always centralised in a data warehouse or a data lake and governed by a centralised team.  However, with the rise of distributed systems, microservices, and agile methodologies, this approach has proven to be inadequate for managing data at scale. Data Mesh proposes a different approach, where data is treated as a product and owned by the teams that...

Location intelligence.  Location intelligence is crucial for a company's data-driven decision-making process, providing insights into the relationship between location and business operations. It helps identify new market opportunities, optimize operations, improve customer experiences, mitigate risks, and provide a competitive advantage. By analyzing location-specific information, companies...