Don't Panic! It's Just Data

Data is the backbone of any successful business, and having a 360-degree view of it is crucial to understand the key metrics and drivers of the organization.  By collecting, processing, and analyzing data from various sources such as customer interactions, financial transactions, and employee performance, your business can gain valuable insights into its operations.  This 360-degree view...

Data observability refers to the ability to collect, measure, and analyse data from various sources in order to understand the current state and behaviour of a system. This includes monitoring the system's performance, availability, and errors, as well as identifying patterns and anomalies in the data.  By implementing data observability, organisations can gain insights into their systems and...

Predictive data intelligence is the use of data, AI-driven algorithms, and machine learning techniques to quickly connect data consumers with the most relevant data they need to drive their business initiatives and deliver greater value. The goal of predictive analytics is to go beyond simply describing data to enable data consumers to accelerate the next-best actions to take for more effective de...

Data engineering is how companies design and build systems for collecting and using their data at scale. A critical practice as companies are pressured to make more and more data-driven decisions, data engineering is essential for enterprises to get ahead.  In this episode of the EM360 Podcast, Editor  Matt Harris  speaks to  Salma Bakouk , Co-Founder and CEO at  Sifflet ,...

Data management is essential for the enterprise to get right, especially now as firms across all sectors are collecting and using vast amounts of data.  But what exactly is good data management? Why do we need it? And what are some of the unacknowledged ramifications that have serious impacts on our day-to-day lives? In this episode of the EM360 Podcast, Analyst  Doug Laney  speaks...

Data culture is becoming an increasingly important philosophy in the modern enterprise. Making data-driven decisions is critical to the success of a company in today’s world, and there really is no better way to do that than ensuring a data culture runs through the firm. There are plenty of studies that show a correlation between the maturity of a data culture and the success of a business, includ...

As data continues becoming a core part of how businesses operate and make decisions, managing data quality has never been so important.  Poor data quality can hit all enterprise levels hard, from marketers annoying prospects to supply chains becoming unable to automate processes properly. In this second episode of the three-part EM360 Podcast series with Anomalo on data quality, Elliot Shmukl...

Spatial data, also known as geospatial data, affects our everyday lives. A term used to describe data related to locations on Earth’s surface, spatial data can be used in everything from heat maps and political maps to smaller-scale indoor representations like in hospitals and offices.  In this episode of the EM360 Podcast, Analyst  John Santaferraro  speaks to  Todd Lewis , Fo...

Data quality monitoring is a process that manages and ensures high-standard data within an organisation.  Performed through strategies like automation and full-stack monitoring, companies set their own data quality metrics and KPIs to measure and evaluate it.   In this episode of the EM360 Podcast, Analyst  Christina Stathopoulos  speaks to  Jeremy Stanley , Co-founde...

Data governance in the modern world is the managing, utilising and securing of data in enterprise systems, and it’s becoming increasingly more important as organisations face new data privacy regulations as well as the need to make data-driven decisions. Well-designed data governance programs often include governance teams, steering committees and data stewards. But behind these lie data standards...

Cloud modernization transforms organizations and enables continuous innovation. A cloud modernization program accelerates your analytics initiatives to gain the agility, speed, and scale needed to drive business value and deliver a competitive advantage. Informatica has enabled many leading customers to move their on-premises workloads to the cloud seamlessly and to innovate at scale. Learn h...

Raw data is data that has not yet been processed for practical use.  It, of course, has the potential to become real and actionable information - but the transformation requires selective extraction, organisation and formatting. Businesses today are really beginning to recognise the value of raw data. With consumer data being one of the hottest commodities of the 21st century, the ability to...

Data discovery is a subset of business intelligence (BI), referring to the collecting and consolidating of data from multiple databases into a single source. This makes it much easier to investigate and detect patterns, as well as apply real-time data controls to ensure safe storage and analysis. In this third episode of the three-part EM360 Podcast, Analyst Christina Stathopoulos is joined by Ric...

Location Intelligence (LI) is how we use data to answer spacial questions. It goes beyond visualising data on a map - in fact, the analysis of location data has become integral to our daily lives. From 5G network deployments and geomarketing to Dominos Pizza understanding where you are and what you’re likely to order as soon as they pick up the phone, it’s clear that every sector is adopting LI to...

The trend of data at our fingertips is continuing. Virtually, everything we do is impacted by data.  From driving your car to shopping to fighting pandemics such as Covid-19. Everything is impacted by data and understanding is improved by embracing and using it  Data powers many technologies and itself is neither good nor bad. As data influences more of our life, we have t...

The trend of data at our fingertips is continuing. Virtually, everything we do is impacted by data.  From driving your car to shopping to fighting pandemics such as Covid-19. Everything is impacted by data and understanding is improved by embracing and using it  Data powers many technologies and itself is neither good nor bad. As data influences more of our life, we have t...

Deep learning is a subgenre of machine learning and AI that mimics human behaviour - lending itself to predictive modelling and statistics.  But how can we take the power of deep learning and make it more accessible to the citizen data scientist? In this episode of the EM360 Podcast, Analyst  Christina Stathopoulos  speaks to  Richard Heyns , Founder and CEO of  Brytlyt ,...

Machine Learning Operations, or MLOps, is a set of practices that aims to deploy and maintain machine learning models reliably and efficiently. Similar to the DevOps approach, MLOps seeks to increase automation and improve the quality of production models while focusing on business requirements. In the first part of this three-episode series on the ‘Transformational Serverless Acceleration for Ana...

Artificial intelligence. The catch-all term defines the machines that can mimic and display sentient cognitive skills such as learning and problem-solving. A key part of modern technology, the advancements of AI indicate just how far the human race has come. AI can be used by businesses to interpret and use massive volumes of data. In this third episode of a three-part EM360 podcast series with Fi...

Digital twins are virtual models designed to accurately reflect a physical object or process. The real-world applications of this are endless - from city planning to construction and decoration, digital twins can help you visualise concepts within spaces with ease. When it comes to processes a digital twin can represent measurements of flows that are difficult to show such as wind direction, or te...

Data democratisation is the continuous process of enabling company-wide access to data, regardless of technical know-how, in a bid to spread a data-led decision-making mindset across all departments of an organisation. It can be a big challenge - and serious investment - for companies as employee education and tool implementation is not trivial undertakings. How can companies set up their data dem...

While we have made huge steps in transferring information into processes of data analysis, there is still a huge reliance upon hard-to-process document-based information. One of the biggest culprits of this is the healthcare industry. For decades, they have been using this outdated, insecure method of managing patients' private information, which has led to multiple issues, such as data breaches....

The data-driven revolution has enabled brands to achieve true customer centricity — but only if they have the right data analysis and experience orchestration capabilities. Whether creating a single customer view, generating predictive insights, or orchestrating seamless omnichannel experiences, organisations must work to make sure their customer data is accurate, accessible, and actionable. The d...

Advanced analytics is the next step for organisations that want to be at the cutting edge of data analysis. For decades, organisations have been generating reports, primarily documenting 'What happened?' or 'What is happening?'. Essentially, it was once solely about descriptive analytics reporting, until some decided to take it to the next level with diagnostic analytics - i.e. looking at why thin...

Digital disruption and transformation are unavoidable in today's digital world. Fueled by the ever-growing and emerging list of next-generation digital technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics, organisations have no choice but to accept these innovations and utilise them within their operations and ecosystems if they want to remain competi...