FineReport

APRIL 9, 2024

By leveraging these insights, businesses can implement preemptive measures to mitigate risks effectively, safeguarding their operations against potential disruptions. Users should receive training on how to navigate the software, interpret data visualizations, and leverage advanced analytics capabilities to make informed decisions.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 362

Marketing Experimentation Metrics Testing 362

Paul Blogs on BI

NOVEMBER 13, 2023

As organizations look to design and create new data warehouses, lakes and even lake houses in the cloud and populate them with data from a combination of legacy on-premise data warehouses , new cloud applications and existing on-premise applications, they quickly realize this is a huge undertaking.

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

Alation

NOVEMBER 17, 2022

Becoming data-driven requires that people understand what data-driven means, and that the right people are in place to govern, maintain, and analyse the data. So, let’s start at the beginning of this journey and establish step by step what it means to be truly data-driven. First, what are your business objectives?

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

Alation

MARCH 14, 2023

It should make data available, maintain data consistency and accuracy, and support data security. Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

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

CIO Business Intelligence

NOVEMBER 2, 2023

But the enthusiasm must be tempered by the need to put data management and data governance in place. The Salesforce report found that 87% of technical leaders say that advances in AI make data management a higher priority and 92% say that trustworthy data is needed more than ever before.

Data Strategy 137

Data Strategy Strategy Sales Data Governance 137

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

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

IBM Big Data Hub

OCTOBER 20, 2023

Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives. These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

AWS Big Data

MARCH 26, 2024

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. Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

datapine

DECEMBER 11, 2019

Business value: Software is designed to meet industry requirements; therefore, it provides a higher degree of business value for company operations and performance. Is my data protected while the integration process is worked through? 4) Increased Thought Leadership.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

datapine

FEBRUARY 22, 2022

A business intelligence strategy refers to the process of implementing a BI system in your company. This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. For this purpose, you can think about a data governance strategy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64