Remove Accessible Remove Data Management Remove White Paper
article thumbnail

Do You Manage Your Data Debt Alongside Your Technical Debt?

The Modern Data Company

Like technical debt, data debt represents the liability accrued over time by inefficient and outdated methods and technologies for handling corporate data. It is important to note that data debt has methodological and technological components. Data management technologies grow old and out of date.

article thumbnail

Unraveling the Threads: Data Fabric vs Data Mesh for Modern Enterprises

Precisely

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. The choice between the two depends on your business needs.

article thumbnail

Why Your Master Data Management Needs Data Governance

Precisely

With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises.

article thumbnail

Data-driven competitive advantage in the financial services industry

Cloudera

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Banking 107
article thumbnail

In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. We need to get to the root of the problem. We briefly summarise each challenge below. Find out more.

article thumbnail

Customer Relationship Management vs. Customer Communications Management: Differences and Synergies

Precisely

Here’s a high-level look at what you achieve across various areas of your business: Data management: CRM platforms centralize customer data, ensuring that information is accessible and up to date. Read this white paper to learn more. What do the results of these capabilities look like in practice?

article thumbnail

Why Your Enterprise Needs a Hybrid Cloud Strategy

Cloudera

Isolated data sources provide only fragmented insight, leading to inefficiency and an incomplete picture of customers, products, and their needs. Data access and governance: Silos and decentralized cloud environments can also create access problems. Many hybrid cloud challenges revolve around data.

Cloud 41