Our modern world, with its complex social structures, geopolitical risks, and increasingly mobile populations, presents more and more formidable public health challenges. From COVID-19 to the opioid epidemic to human trafficking, crises can emerge unexpectedly and seem intractable. But organizations are increasingly aware of a powerful antidote: data. With reliable, up-to-date data, they can gain […]
How to Keep Cloud Storage Costs Under Control
Do you feel that your business is overspending on cloud storage? Maybe no one knows all the cloud accounts your company has open. Or no one can fully explain the company’s monthly bill. The pricing may seem straightforward, but you look at your latest bill and fail to comprehend the extra charges. Every organization can […]
Using Enterprise Architecture Roadmaps to Guide Tech Implementation
In the 21st century, every company is a technology company. Innovations in artificial intelligence, machine learning, the Internet of Things (IoT), and other advanced technologies have enabled companies to do things previously unimaginable when it comes to customer experiences, business growth, and revenue. All of that comes at a cost, of course. New technologies, system […]
Innovative Ways to Use Data Visualization
Data is an integral aspect of every organization across all industries. However, presenting data is a crucial exercise that requires a lot of creativity to ensure that every team member can grasp the meaning of the content. Many people get confused about how to find valuable insights from a large volume of data in a spreadsheet. That’s […]
The Rise of the Semantic Layer
Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface […]
A Data Recovery Secret That’s (Really) Ransomware-Proof
Cyber resilience is a top concern for businesses in every industry. A key reason for this is that businesses of all sizes continue to face an ever-increasing array of cyber threats including ransomware, malware, and spear phishing. Ransomware is a particularly pernicious problem and a huge threat to organizations worldwide. According to Cybercrime Magazine, the collective […]
How to Leverage Machine Learning to Identify Data Errors in a Data Lake
A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical. Accurate, consistent, and reliable […]
Logistics, Data, and AI: Key Learnings from the Pandemic
The supply chain business is evolving incredibly rapidly – particularly when it comes to how it uses technology. And with this in mind, earlier this year, we commissioned an in-depth report on how the pandemic impacted the freight procurement industry, by speaking with hundreds of shippers with $100 million-plus in annual freight spend. Almost all […]
12 Benefits of Data Sharing via APIs
Data sharing is a hot topic. Multiple analysts and consultancies have been featuring data sharing as one of the key enablers to successful business partnerships and accelerated growth. Both Gartner and McKinsey have good articles; indeed, Gartner boldly claims that “data and analytics leaders who share data externally generate three times more measurable economic benefit than those who do […]
The Evolution of Data Virtualization: From Data Integration to Data Management
Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today. This is due to several facts beginning with the limitations of legacy infrastructure, the massive amounts of structured and unstructured data that organizations were collecting, […]