In the ever-expanding world of IoT, no industry is left untouched and the growth potential shows no sign of slowing down. According to a report published by GlobalData in May 2021, the global Internet of Things market is expected to reach more than a trillion dollars by 2024. Predictive maintenance, optimized energy consumption, road traffic management – the use cases are virtually endless! Meanwhile, that connectivity is generating a goldmine of data for your business.

With data becoming a more important business resource by the day, organizations are increasingly turning to their leaders to ensure data excellence. Mark Fazackerley, Regional Vice President ANZ at Talend, outlines how the growingly popular Chief Data Officer role can help lay the groundwork for an effective data strategy and culture.

Firms are burdened with tech debt and endless regulatory compliance, often leaving innovation last to receive the necessary budgets. Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization.

The Eckerson Group recently presented a CDO TechVent that explored data observability, “Data Observability: Managing Data Quality and Pipelines for the Cloud Era.” Hosted by Wayne Eckerson, president of Eckerson Group, Dr.

Snowflake recently announced results from the 2022 Customer Experience Survey. Hopefully, you’ve already heard about Snowflake’s overall Net Promoter Score (NPS) of 72*, a score more than three times the industry average of 21, based on the Qualtrics 2021 NPS Industry Benchmarking Report. The survey also asked customers for feedback on specific Snowflake experiences along the customer journey, from initially researching the product to implementation to getting help and support when needed.

With Ashish Khandelwal, Mainframe Modernization Engineer at Microsoft, Mukesh Kumar, Principle Group Engineering Architecture Manager at Microsoft, and Tom Griggs, Global Partner Senior Manager at Qlik

Machine learning is used across industries and user communities for a wide variety of predictive analytics needs – use cases ranging from sales forecasting to churn reduction, customer lifetime value, inventory optimization, capital allocation and more.

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. CML empowers organizations to build and deploy machine learning and AI capabilities for business at scale, efficiently and securely, anywhere they want.

Finance teams are taking on new challenges and responsibilities in light of the uncertain economic climate that surfaced in the wake of the global pandemic, supply chain disruptions, price inflation, and the wholesale workforce exodus known as the “Great Resignation.” Now more than ever, organizational leadership is looking to the Office of the CFO to be a strategic partner in building an overall business strategy.

About 80% of the world’s data is unstructured. Unstructured data within documents, emails, web pages, images, comments on blogs and social media sites, and more can be extraordinarily valuable, making the ability to process this kind of data vital for organizations that want to make data-driven decisions.