How Digital Governance is Evolving – And Why Leaders Should Care

In this contributed article, James Farhat, CEO of ACTS. discusses how digital governance is evolving – and why leaders should care.
“Digital governance” is a relatively new term. To understand it, it’s helpful to recap what we mean by “digital transformation” – which is essentially leveraging technology to improve processes and the way people work.

Key Trends in 2022 for Organizations to Improve Data Literacy

In this sponsored post, our friends over at Trifacta suggest that intriguing data questions are inherently interdisciplinary. As business leaders look to data-driven decision-making in 2022 and beyond, they must continue to make strides organization-wide in data literacy, or even simply make more individuals comfortable with data. Ultimately, decision-makers need to interpret and use data in a meaningful way to drive the business forward.

Best Practices in Data Engineering: Brush Up Your Skills and Tidy Your Data with DIY Data

[SPONSORED POST] Trifacta introduces “DIY Data” – a unique webcast series that presents practical aspects of data engineering through hands-on demonstrations.  The series is all about being hands-on with Trifacta through 30-min byte size live and interactive episodes.

Coalesce Emerges from Stealth to Reimagine Data Transformations

Coalesce, the data transformation company, announced its emergence from stealth and the launch of the Coalesce Data Transformation platform. Founded by a team of data automation pioneers, Coalesce simplifies the modeling, cleansing, governance, and documentation of data by bringing never-before-seen efficiency and flexibility to the analytics landscape. The Coalesce platform dramatically increases data engineer productivity and insights to tackle today’s data-intensive architectures – enabling data transformations at enterprise scale.

Alteryx Announces Acquisition of Trifacta

Alteryx, Inc. (NYSE: AYX), the Analytics Automation company, announced it has entered into a definitive agreement to acquire Trifacta, an award-winning cloud company that leverages scalable data management and machine learning to make data analytics faster and more intuitive.

Survey: 97% of Enterprises Seek to Accelerate Data Transformation, with Time Spent on Data Preparation A Barrier to Insights-Driven Decision-Making

Matillion, a leading provider of data transformation for cloud data warehouses (CDWs), and IDG Research have released findings of an IDG Research MarketPulse survey, “Gaining Time, Savings, and Insights via Cloud-Powered Data Transformation.” The research exposes the challenges companies face in leveraging enterprise data for analytics and identifies data portability, time-to-value, and self-service for business users as top requirements to address these challenges.

Data Transformation for Machine Learning

In this contributed article, Damian Chan, Technical Success Manager at Matillion, discusses common data transformations that you can perform so your data can be processed within machine learning models. When it comes to machine learning, you need to feed your models good data to get good insights. Data in the real world can be really messy and in most cases, some sort of data cleansing needs to be performed prior to any data analysis.

The Secret to Accurate Machine Learning Models is Data Transformation

In this contributed article, Damian Chan, Solutions Engineer with Matillion, discusses how machine learning can help your business process and understand data insights faster – empowering data-driven decisions to be made across your organization. For machine learning to be successful, however, your models will need to consume clean data sets. As the quality of your data increases, you can expect the quality of our insights to increase as well. Transforming data for analysis can be challenging based on the growing volume, variety and velocity of big data. This challenge will need to be overcome to unlock the potential of your data and to mobilize your business to move faster and outpace competitors.

Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters

In this whitepaper QCT (Quanta Cloud Technology) highlights Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters. The company is offering its QCT Platform on Demand (QCT POD) solution that empowers enterprises to kickstart their transformation journey. It combines advanced technology with a unique user experience to help enterprises reach better performance and gain more insights. With flexibility and scalability, QCT POD enables enterprises to address a broader range of HPC, Deep Learning, and Data Analytic demands that fulfill various applications.

Dell Boomi Delivers Security, Usability and Flexibility With Latest Release

Dell Boomi™ (Boomi), the leading enterprise transformation provider of cloud integration and workflow automation to build The Connected Business, announced its Fall 2018 release of the Boomi platform. This update reinforces Boomi’s mission to provide enterprise-grade security, enhanced usability and expanded flexibility for customers.