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Tag: Data Quality

Data and Analytics Leaders Report Wasting Funds on Bad Data
As enterprises fiercely compete for data engineers, a new global poll out today by Wakefield Research and Fivetran, a leading provider of automated data integration, shows that, on average, 44 percent of their time is wasted building and rebuilding data pipelines, which connect data lakes and warehouses with databases and …
Almost Half of Organizations Still Struggle with the Quality of their Data
Nearly half (48%) of organizations are still struggling to use and access quality data as underlying technology is failing to deliver on a number of critical functions. According to new research conducted by ESG in partnership with InterSystems, while organizations are looking to rapidly progress how they deliver data across …
Managing Data Overload in Healthcare
Navina AI helps physicians manage the healthcare data overload and provide better patient care. Read more
What Tools Do You Need To Manage Unstructured Data?
Unstructured data represents one of today’s most significant business challenges. Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise. In fact, by some estimates, as …
DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain
The survey associated with this report, commission by Immuta, focused on identifying the limiting factors in the data “supply chain” as it relates to the overall DataOps methodology of the organization. DataOps itself is the more agile and automated application of data management techniques to advance data-driven outcomes, while the …
Timeliness and Reliability in the Transmission of Regulatory Reports
Managing risk and regulatory compliance is an increasingly complex and costly endeavour. Regulatory change has increased 500% since the 2008 global financial crisis and boosted the regulatory costs in the process. Given the fines associated with non-compliance and SLA breaches (banks hit an all-time high in fines of $10 billion …
Large Scale ETL and Lakehouse Implementation at Asurion
This is a guest post from Tomasz Magdanski, Director of Engineering, Asurion. With its insurance and installation, repair, replacement and 24/7 support services, Asurion helps people protect, connect and enjoy the latest tech – to make life a little easier. Every day our team of 10,000 experts helps nearly 300 …
5 Steps to Implementing Intelligent Data Pipelines With Delta Live Tables
Many IT organizations are familiar with the traditional extract, transform and load (ETL) process – as a series of steps defined to move and transform data from source to traditional data warehouses and data marts for reporting purposes. However, as organizations morph to become more and more data-driven, the vast …
Solidifying Absolute and Relative Data Quality with Master Data Management
In this contributed article, editorial consultant Jelani Harper highlights that contrary to popular belief, data are not the oil, fuel, energy, or life force coursing through the enterprise to inform decision-making, engender insights, and propel timely business action rooted in concrete facts. Data quality is.
3 Huge Reasons that Data Integrity is Absolutely Essential
Everyone knows about the importance of data security. However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? In this post, we will run you through the key things you need to know …
6 Big Data Mistakes You Must Avoid At All Costs
Marketers around the world are embracing data-driven marketing to drive better results from their campaigns. However, while doing so, you need to work with a lot of data and this could lead to some big data mistakes. But why use data-driven marketing in the first place? When you collect data …
Overcoming 7 AI Challenges in 2021
AI has become an indispensable resource for many businesses in 2020 amid the challenges of COVID-19. Despite economic stress, 61% of high-performing companies invested more in AI in 2020. As recovery from pandemic losses gets underway, more may turn to AI to strengthen their digital transformation. Increased investments in AI
How to Save up to 50% on Azure ETL While Improving Data Quality
The challenges of data quality One of the most common issues our customers face is maintaining high data quality standards, especially as they rapidly increase the volume of data they process, analyze and publish. Data validation, data transformation and de-identification can be complex and time-consuming. As data volumes grow, new …
2021 Trends in Data Strategy: Doing More With Less
In this contributed article, editorial consultant Jelani Harper suggests that organizations seek technology to do more with less during today’s turbulent business conditions. Data strategy elucidates what ‘more’ entails, whether it really can be achieved with less, and the longstanding consequences of leveraging various technologies to this end. It requires …
Data Quality: Fixing Typos is a $4.5 Billion Market
In this contributed article, Kenn So, an investor at Shasta Ventures, believes that even after years of advances in data engineering and "artificial intelligence", data quality, particularly structured tabular data, remains a big problem. In fact, it is a growing problem. But that is also why it is an exciting …
Providing fine-grained, trusted access to enterprise datasets with Okera and Domino
Domino and Okera – Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments. In the last few years, we’ve seen the acceleration of two trends — the increasing amounts of data stored and utilized by organizations, and the subsequent need for data scientists to help …
Untangling Seven Myths and Truths about Data Quality
Infogix, a leading provider of data management tools and a pioneer in data integrity, debunked seven popular data quality myths that are doing businesses more harm than good. In order to solve data quality challenges that plague organizations today, businesses must understand the most prevalent data quality misconceptions. Here is …
Data Technology Is Crucial To Your Infrastructural Modernization Plan
Big data has played a very important role in many aspects of small business. The market for big data is expected to reach $67 billion by next year. Companies of all sizes need to understand the impact big data has had on their business models. They also need to consider …