CIO Business Intelligence

FEBRUARY 14, 2023

Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI. DataStax Real-time data and decisioning First, a few quick definitions. Real-time data involves a continuous flow of data in motion.

Data Strategy 109

Data Strategy Strategy Machine Learning Data-driven 109

Smarten

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others. Self-Serve Data Prep in Action.

Analytics 51

Analytics IT Business Intelligence Testing 51

Occam's Razor

AUGUST 22, 2011

Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Seven Steps to Creating a Data Driven Decision Making Culture. Customer Lifetime Value ROI, Buzz Monitoring, Click Fraud. Data Quality Sucks, Let's Just Get Over It.

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. EU Cookies!) What's possible to measure.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Jet Global

MAY 28, 2019

The decision will come down to a database vs a data warehouse—but let’s start by explaining what each is and why they are used. All About That (Data)Base. A database is, by definition, ‘any collection of data organized for storage, accessibility, and retrieval.’ Let’s look at why: Data Quality and Consistency.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

CIO Business Intelligence

JANUARY 23, 2024

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). Digital Transformation, IT Leadership, IT Strategy, ROI and Metrics

Measurement 128

Measurement Digital Transformation KPI Metrics 128

Occam's Razor

APRIL 21, 2014

Grow traffic first, with even with bad measurement I can find positive ROI areas for growth or invest time getting Analytics in order first for more objective decision making? We wonder why data people are not loved. :). And you can definitely do brand vs non-brand analysis using these options. Six years go by. strategies).

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Domino Data Lab

JUNE 23, 2019

Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. To prioritize, how do we do this?

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

FEBRUARY 4, 2019

Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection. Given the two points above, that’s okay—there are good ways to direct data exploration toward ROI. Lack of data, or data quality issues (silos).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Andrew White

JANUARY 9, 2022

– We see most, if not all, of data management being augmented with ML. Much as the analytics world shifted to augmented analytics, the same is happening in data management. You can find research published on the infusion of ML in data quality, and also data catalogs, data discovery, and data integration.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

erwin

MAY 17, 2021

Data Governance Definition Varies. There is still no consensus on how to define data governance. When asked for a definition, the two most popular responses were: Building a set of policies that governs data. Ensuring data usage follows defined rules. Key Bottlenecks and Challenges. Other Key Findings.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

erwin

JUNE 17, 2021

Data Governance Definition Varies. There is still no consensus on how to define data governance. When asked for a definition, the two most popular responses were: Building a set of policies that governs data. Ensuring data usage follows defined rules. Key Bottlenecks and Challenges. Other Key Findings.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59

erwin

AUGUST 31, 2023

Improved Decision Making : Well-modeled data provides insights that drive informed decision-making across various business domains, resulting in enhanced strategic planning. Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98