Many modern organizations are recognizing how important it is to develop a data-driven culture. A data-driven culture typically describes a workplace environment and involves making information readily available to staff. The general idea in promoting a data-driven workplace culture is to increase profits by developing a business that functions in a streamlined, efficient, and friendly […]
Signal vs. Noise: Balancing On-Call Hygiene for Data-Driven Teams
In the real-time software world, 24×7 uptime is critical for core software where millions of transactions occur every second. In 2018, Amazon’s Prime Day event experienced a 13-minute outage that, according to some estimates, may have cost the company up to $99 million in lost sales. Reliability is paramount when the business depends on it […]
Creating a Data Monetization Strategy
A data monetization strategy is an executable plan for extracting “value” from data and converting it into revenue-generating opportunities. It involves analyzing and leveraging data to uncover insights that can be used to drive business growth, enhance customer experiences, and create new revenue streams. Organizations collect large volumes of raw data from various sources such […]
Unveiling the ROI Dilemma: How Data Blind Spots Impact Asset Owners’ Bottom Line
In today’s fast-moving investment world, corporate and insurance asset owners are operating in the dark, hindered by the absence of a standardized industry benchmark for an overall asset performance assessment. Asset owners usually have many other responsibilities beyond managing portfolio strategies, affecting their ability to allocate time to comprehensively evaluate and optimize the performance of […]
Future-Proof Your Cyber Risk Management with These Top Trends in 2024 (Part II)
As shared in part one of this installment, the global marketplace faces an increasingly destructive cyber risk landscape each year, and 2024 is set to confirm this trend. The cost of data breaches alone is expected to reach $5 trillion, a growth of 11% from 2023. As technology advances, attackers continue to develop new, more sophisticated methods […]
Demonstrating the Value of Data Governance
As organizations strive to become more data-driven, they increasingly recognize the importance of Data Governance (DG), a business program supporting harmonized data activities. However, business leaders, colleagues, and workers often express confusion about DG policies and need clarity around its value. This article tackles this issue by exploring the top 10 ways for effectively articulating the value […]
The Swashbuckling Guide to Building an Analytics Center of Excellence
Ahoy, data adventurers! Embarking on the thrilling journey of building a successful Analytics Center of Excellence (CoE) is akin to navigating the vast seas of data-driven decision-making. As a seasoned captain who’s steered the ship through the turbulent waters of financial services, retail, CPG, and telecom industries, I’ve charted a course that’s proven its mettle […]
Data-First Architectures Unlock the Power of Data
Companies are currently in the midst of a significant paradigm shift, where they are faced with the decision to either over-complicate their data architecture or opt for a single cloud solution. It’s imperative to assess which cloud option aligns best with the needs of an organization; however, neither option allows organizations to optimize their data. […]
How GenAI Bridges the Data Gap Between CMOs and CFOs
Marketing budgets are never entirely safe. While it may seem like pressure is easing as global economic estimates turn slightly sunnier, consumer demand is still getting more expensive to capture and close – which means scrutiny from finance chiefs is as tough as ever. To keep investment flowing, CMOs need to get better at not only boosting […]
What Is Data Completeness and Why Is It Important?
Data completeness is an important aspect of Data Quality. Data Quality is a reference to how accurate and reliable the data is overall. Data completeness specifically focuses on missing data or how complete the data is, rather than concerns of inaccurate or duplicated data. A lack of data completeness is normally the result of information […]