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. Bjoern Sjut3: My main issue at the moment: How will multi-channel funnels and ROI calculations work in a multi device world? They also reveal things that starting to become scary (Privacy!

Modeling 124

Modeling Metrics Data Quality Data-driven 124

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

Domino Data Lab

JUNE 23, 2019

And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. The biggest time sink is often around data collection, labeling and cleaning. ” There’s either incomplete data, missing tracking data or duplicative tracking data, things like that.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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

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. :). Both are large scale issues requiring buy in from execs and multiple departments. Six years go by.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Business Intelligence And Analytics Lead To ROI. Such business intelligence ROI can come in many forms.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

FEBRUARY 22, 2022

But the rewards outperform by far its costs, and it is well known that business intelligence ROI is real even if it is sometimes hard to quantify. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

DataKitchen

JUNE 24, 2021

Agility as a concept in business is really powerful and certainly deserves a place in every data and analytics team.”. DataOps Maximizes Your ROI. The panelists provided great advice for maximizing ROI with DataOps. . According to Zimmer, it’s hard to maximize ROI when you can’t measure it. “One Design for measurability.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Alation

FEBRUARY 17, 2023

Discussing time-to-value, the ROI of good data use, sales growth, and cost reductions are a great set of examples to use and build confidence in your governance program. Some data seems more analytical, while other is operational (external facing). So what’s the outcome of data governance at the consumption level?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

IBM Big Data Hub

AUGUST 4, 2023

Risk of data swamps A data swamp is the result of a poorly managed data lake that lacks appropriate data quality and data governance practices to provide insightful learnings, rendering the data useless. MLOps creates a process where it’s easier to cull insights from business data.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Jet Global

APRIL 14, 2022

Deep, proactive analysis is crucial for making key business decisions that benefit profitability, increase ROI, and reduce costly errors. Having accurate data is crucial to this process, but finance teams struggle to easily access and connect with data. Improve data quality. Reduce the risk of human error.

Data Collection 52

Data Collection Management Finance Reporting 52