Paul Blogs on BI

NOVEMBER 13, 2023

I have a had a lot of conversations about data strategy this year. With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. This is where the infamous “How do you eat an elephant?”

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). Data is the lifeblood of modern business, the fuel that powers digital transformation, and every company should have a data strategy.

IT 78

IT Data Strategy Data-driven ROI 78

Anmut

MAY 12, 2022

Executive teams want results fast, and without tangible proof that data strategies and investments are making a difference, they often have to move onto the next thing, and sometimes the next CDO. Data investment drives tremendous business value. Build a differentiated, prioritised data strategy.

Scorecard 52

Scorecard Business Objectives Metrics Measurement 52

BizAcuity

APRIL 1, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Cloudera

SEPTEMBER 10, 2024

Translating AI’s Potential into Measurable Business Impact It can’t be denied that a mature enterprise data strategy generates better business outcomes in the form of revenue growth and cost savings. Here are some tips for organizations s tarting on their ethical AI journey: Formulate a data strategy.

Cost-Benefit 52

Cost-Benefit Data Architecture Metrics Measurement 52

Andrew White

NOVEMBER 1, 2019

Only 3 years ago (see Data and Analytics Strategies Need More-Concrete Metrics of Success ) where we reviewed all the data strategies we had seen in the previous couple of years and less than 15% of them had concrete measurable outcomes. Most of these strategies were effectively based on faith, hope, and charity.

Strategy 56

Strategy Analytics Data-driven Data Strategy 56

bridgei2i

JUNE 23, 2021

Here are some general functions which an AI Consulting Company will fulfill in your AI initiatives: Develop A Coordinated Data Strategy. An AI Consulting Company provides support to organizations to build the right data strategy for AI implementation. Identify KPIs.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

IBM Big Data Hub

JANUARY 5, 2023

Practice proper data hygiene across interfaces. How to build a data architecture that improves data quality. A data strategy can help data architects create and implement a data architecture that improves data quality. Steps for developing an effective data strategy include: 1.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

Alation

DECEMBER 15, 2021

This includes: Assigning responsibility for implementing the policies and processes, Defining policies for sharing and processing data, Creating processes for naming and storing data, Establishing measurements for keeping data clean and usable. At the same time, it enhances data security and compliance programs.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

Metadata 64

Metadata Data Governance Dashboards Software 64

Anmut

MARCH 24, 2022

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. Let’s Talk.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Anmut

APRIL 14, 2025

Condition Visibility : Physical assets can be inspected visually or measured using predefined metrics. Clear Accountability : Assign ownership to data assets just as organisations have facility managers or equipment custodians. Get in touch to learn how we can help you maximise the value of your data.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52