The Strategic Imperative of Financial Records Management in Modern Enterprises
In an era where data volumes are exploding exponentially, enterprises face a critical challenge: how to effectively manage and store financial records while maintaining system performance and ensuring regulatory compliance. The traditional approach of keeping all financial data in production systems is becoming increasingly unsustainable, forcing organizations to rethink their information lifecycle management (ILM) strategies. […]
Data Leakage Protection – Closing the Gaps
As enterprise data grows in size and importance, organizations are facing a critical fight to stem flow of sensitive information beyond corporate boundaries. While security teams concentrate on defending against external cyber threats, confidential data may be quietly slipping through digital cracks, often through completely legitimate and seemingly innocent channels. Listen to the Blog The […]
Federated Data Governance for the Enterprise
Today, enterprises adopt AI and machine learning to derive insights from their datasets, and it becomes increasingly critical to focus on effectively governing them. As data regulations around the globe impose heavy penalties on non-compliance, modern enterprises must have adequate governance capabilities to prevent exposure. Large corporations have diverse data needs; with multiple application owners […]
Enterprise Data Services: Navigating the Data-Driven Future
Enterprises today create and consume data on an unprecedented scale. Behind the scenes, various enterprise data services enable, support, or enhance all the data operations performed. These services consist of multiple components that work together to manage, mine, and monetize the large volumes of data that enterprises hold. Understanding what these enterprise data services do […]
Data Lake vs Data Warehouse: How to Choose the Right Solution in 2024
For folks new to data & analytics, it’s not uncommon to be confused between data warehouses and data lakes. Both are repositories to store large volumes of data, but they have distinct characteristics and core use cases. This article aims to educate you on data warehouses and data lakes, when large organizations use them, and […]
How are Huge Corporate Files Archived?
Large corporations accumulate massive amounts of data through direct collection from websites, apps, surveys, and POS systems and indirect collection from IoT devices, public sources, third-party providers, partnerships, and mergers and acquisitions. These datasets can be categorized into structured, unstructured, and semi-structured data, all meant to be dealt with differently. This often leads to redundant […]