Data Architecture Data Lake Data Strategy Marketing 
Cloudera
SEPTEMBER 6, 2022
But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . The challenges.
AWS Big Data
MARCH 26, 2024
This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%
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CIO Business Intelligence
NOVEMBER 28, 2023
But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. Seven individuals raised their hands.
Cloudera
MAY 9, 2023
The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.
AWS Big Data
FEBRUARY 27, 2024
To stay competitive and responsive to changing market dynamics, they decided to modernize their infrastructure. The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units.
Cloudera
JANUARY 30, 2024
With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. Develop a data strategy built on a robust data platform.
IBM Big Data Hub
SEPTEMBER 19, 2023
Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.
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