Today IT teams are woefully understaffed and overwhelmed with dozens of pressing daily demands from across their organizations. They are under pressure to drive the performance, accessibility, and security of IT systems, services, and applications at a time when the uptick in remote work has made it even more challenging to support those areas. Their […]
3 Signs That Your Data Is Trapped in Silos
The path to data maturity begins with the realization that the opportunity itself is there. Whether you’re sitting on a ton of untapped data or you’re not extracting value from your data because of organizational restrictions, you may be aware by now of the endless possibilities of a mature data model. This potential can be […]
Data Architecture Challenges
The more your business grows, the more complex your business’s Data Architecture becomes. Enterprise Data Architecture challenges abound – from the beginning and throughout the journey. Data has now become the lifeblood of any business, and business data cannot survive without a solid underlying Data Architecture. Data helps businesses to identify risks and opportunities, understand […]
What Is Data Leadership?
Data leadership refers to individuals implementing improved processes for coordinating and managing data within an enterprise. Although data-driven decisions are on the rise, business leaders still struggle to make accurate decisions because of issues such as data silos, poor data quality, and lack of data trust. More companies are focusing on hiring team members with extensive […]
Solving Three Data Problems with Data Observability
Data collection, while crucial to the overall functionality and health of a business, does not automatically lead to success. If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Data without insight is useless, and the energy spent collecting it, is wasted. Effective use […]
5 Ways Data Leaders Can Improve Data Reliability
Businesses today collect and store an astonishing amount of data. According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability. Despite its importance to effective data analysis, most business leaders […]
When Data and IT Infrastructure Are Overly Complex
As efforts to simplify IT infrastructure through automation are ongoing, the action to pinpoint where complexity resides is key. Data complexity not only complicates the user experience but also wreaks havoc in the backend for administrators and IT decision-makers. As the world of data has grown exponentially and transcended the borders of enterprises, the management of data […]
Recommendations to Level Up Your Machine Learning Platform
With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite. Today’s machine learning platforms are undergoing rapid, fundamental innovations at an architectural level. Meanwhile, organizations are […]
Overcoming the Data Decision Gap in 2022
As organizations enter a new year, leaders across industries are increasingly collecting more data to drive innovative growth strategies. Yet to move forward effectively, these organizations need greater context around their data to make accurate and streamlined decisions. A recent Data in Context research study found that more than 95% of organizations suffer from a data decision […]
3 Ways Strong Data Governance Practices Can Improve Your Business
Businesses have long struggled to find the balance between compliance and agility. This is especially true when it comes to Data Governance. According to TechTarget, Data Governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on internal data standards and policies. Effective Data Governance ensures that […]