Remove Business Intelligence Remove Data Silos Remove Definition
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Exploring the fundamentals of online transaction processing databases

Dataconomy

However, with the evolution of the internet, the definition of transaction has broadened to include all types of digital interactions and engagements between a business and its customers. The core definition of transactions in the context of OLTP systems remains primarily focused on economic or financial activities.

Database 159
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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud? What is a Data Lake? What kinds of Workloads Does Snowflake Handle?

professionals

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A Guide to Data Analytics in the Travel Industry

Alation

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry?

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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Start small by setting measurable goals and assigning ownership of data domains. Establishing standardized definitions and control measures builds a solid foundation that evolves as the framework matures. Define roles and responsibilities A successful data governance framework requires clearly defined roles and responsibilities.

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Enterprise Analytics: Key Challenges & Strategies

Alation

In enterprises especially, which typically collect vast amounts of data, analysts often struggle to find, understand, and trust data for analytics reporting. Immense volume leads to data silos, and a holistic view of the business becomes more difficult to achieve. The third challenge was around trusting the data.

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A CDO’s Guide to the Data Catalog

Alation

Many companies have tasked their CDOs with enabling business users to perform their own analytics. Even when users are well versed in their preferred business intelligence (BI) tool, however, finding and accessing the right data assets continues to represent a key hurdle. Reducing Data Silos.

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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.