Remove Business Objectives Remove Data Analytics Remove Data Governance Remove Data Strategy
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CDOs’ biggest problem? Getting colleagues to understand their role

CIO Business Intelligence

One possible definition of the CDO is the organization’s leader responsible for data governance and use, including data analysis , mining , and processing. In many cases, CDOs focus on business objectives, but in other cases, they have equal business and technology remits, according to the authors.

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7 sins of digital transformation

CIO Business Intelligence

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives. “Few

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Data architecture strategy for data quality

IBM Big Data Hub

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. Practice proper data hygiene across interfaces. How to build a data architecture that improves data quality.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

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Data Landscape – Navigating The Data Jungle

Anmut

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? In the next section, we’ll discuss more about why your data landscape is so vital to your company’s success.

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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

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What is Data Classification? Guidelines, Types, & Examples

Alation

Further, as emerging privacy laws mandate how data can be used, data classification helps you meet these requirements. With data classification, metadata tags are used to: Protect sensitive data. Identify data governed by GDPR &CCPA , HIPAA, PCI, SOX, and BCBS. Accelerate Data Analytics.