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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 decision making. For example, a retailer can understand their most relevant and high-quality data sets to better forecast consumer demand for a product, or a financial institution may identify the most accurate, complete customer data used to fuel analytics that help identify the likelihood of default on a loan.
In this episode of the EM360 Podcast, Analyst John Santaferraro speaks to Informatica’s Ian Stahl, Senior Director of Product Management and Chris Phillips, VP of Product Management to discuss:
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, to discuss;
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 to Misha Kapushesky, CEO at Genestack and Vivek Iyer, Team Lead, Human Genetics Informatics, from the Wellcome Institute, to discuss:
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, including this one from Collibra which states “Organisations with higher levels of maturity across their data culture are likely to realise higher business benefits and performance versus peers.”
In this episode of the EM360 Podcast, Editor Matt Harris spoke to Databricks’ Field CTO Robin Sutara at Big Data London 2022 to discuss:
Building and maintaining a data culture
Data culture maturity
The Women in Data movement
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 Shmukler, Co-Founder and CEO at Anomalo joins Analyst Christina Stathopoulos to discuss:
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, Founder and CEO of Spatial DNA, to discuss:
Spatial DNA is a partner of Safe Software.
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-founder and CTO of Anomalo, to discuss:
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, policies and philosophies that can help businesses handle astounding amounts of data in the right way.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Ramesh Shurma, Founder and CEO at Orion Governance, to discuss:
Current data governance space
Bottom-up vs top-down approaches
Lowering TCO and increasing ROI
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 how Informatica’s Cloud Modernization Program has allowed customers to streamline processes, improve data delivery, and accelerate time to insights while reducing migration costs and mitigating risk with minimum disruption to ongoing business operations.
On this episode of the EM360 Podcast, Analyst John Santaferraro speaks to Pratik Parekh, Group Vice President and General Manager of Cloud Modernization at Informatica, to explore:
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 make more informed decisions is driving the enterprise to make this unprocessed data work for them.
In this episode of the EM360 Podcast, Analyst John Santaferraro speaks to Nick Jewell, Senior Director of Product Marketing at Incorta, about:
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