Smart Data Collective

APRIL 1, 2021

The technological advancements have left no excuse for brands to justify the lack of customer data collection. This data, in return, enables them to carve out specialized marketing campaigns targeting the right audience. Now marketers can capture data at almost every stage of the buying decision.

Big Data 110

Big Data Marketing Data-driven ROI 110

Smart Data Collective

JUNE 15, 2022

Data analysis is critical for designing experiences that meet today’s consumers’ desire for personalization. Retailers of all sizes may benefit from current analytics systems’ capacity to take enormous volumes of data and provide relevant insights. Enhance the client experience.

Advertising 99

Advertising Cost-Benefit ROI Sales 99

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

Data-driven 88

Data-driven Big Data Metrics Strategy 88

CIO Business Intelligence

OCTOBER 4, 2022

As Warren Jenson, LiveRamp President, said, failing to do this first can be counter-intuitive to the company’s data goals. For internal stakeholders, identity strengthens customer intelligence, improves ROI and generates new revenue streams across sales, marketing, IT and other departments, among many other benefits.”

Cost-Benefit 105

Cost-Benefit Strategy Digital Transformation ROI 105

Smart Data Collective

NOVEMBER 24, 2020

The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. Prescriptive Analytics. Automation & Augmented Analytics. Increase in ROI. This shows why self-service BI is on the rise. Identify Opportunities.

Business Intelligence 132

Business Intelligence Visualization Dashboards Prescriptive Analytics 132

O'Reilly on Data

MARCH 31, 2020

Many consumer internet companies invest heavily in analytics infrastructure, instrumenting their online product experience to measure and improve user retention. It turns out that type of data infrastructure is also the foundation needed for building AI products. If you can’t walk, you’re unlikely to run.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 85

Marketing Technology Advertising ROI 85

Occam's Razor

APRIL 13, 2015

The 80/20 rule applies to our use of web analytics tools as well. I recommend that periodically you gather folks around you for lunch, pull up Adobe Analytics on the big screen in the conference room, let each person expose one hidden report or feature. Google Analytics Shortcuts: Save Your Complex Views. This hurts my feelings!

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

BA Learnings

AUGUST 7, 2021

You can measure the number of click-throughs your products are getting by using web analytics tools like Bitly, for example, to determine if the website is generating the right buzz. However, after putting in place infrastructure for this database, you realize you need to improve your data collection methods.

Digital Transformation 130

Digital Transformation Key Performance Indicator Cost-Benefit KPI 130

Smart Data Collective

NOVEMBER 2, 2022

Big data technology has changed the future of marketing in a multitude of ways. A growing number of organizations are leveraging big data to get higher ROIs from their organic and paid marketing campaigns. As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021.

Marketing 137

Marketing Big Data Data-driven Sales 137

Decision Management Solutions

JUNE 19, 2019

Carriers know that leveraging customer data and predictive analytics at the individual customer level is the best way to accomplish these goals of driving revenue, building loyalty, and increasing customer retention. This process automation also improves the ROI on marketing programs.

Insurance 75

Insurance Consulting Predictive Analytics Interactive 75

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Data governance’s importance has become more widely understood.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

FineReport

APRIL 9, 2021

However, companies operation generates numerous and complicated data every day, beyond traditional manual reporting capacity. Who is going to read the analytical reports ? If the financial analysis will go to non-financial professionals, the financial analysis report only needs conclusive key indicators and data.

Reporting 98

Reporting Finance Dashboards Enterprise 98

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

Jedox

JULY 23, 2019

These are often not “out of the box” solutions and will require us to spend time learning new skills in process automation, analytics and financial modeling. AI-based machine learning and predictive analytics will start to give us more powerful crystal balls. Firstly, it includes all forms of analytics which are heavily data-driven.

Technology 52

Technology Forecasting Finance Data-driven 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. So in summary they are very similar concepts but data fabric seems to be the more rounded of the two.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

FEBRUARY 20, 2020

earthquake, flood, or fire), where the data collected does not need to be as tightly controlled. Since an earthquake event can generate gigabytes of data, a company can spin up extra computing nodes, process the data, and spin down the nodes once the processing is complete. Conclusion. Subscribe to Alation's Blog.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). Nevertheless, it is a crucial step that greatly impacts the accuracy of the report.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Occam's Razor

JANUARY 30, 2012

It is painfully heartbreaking to realize that a very small tiny number of people who have access to web analytics tools actually use them. Ravaging data. In-Page Analytics – Re-imagine Traveling Through Data. #5. Matched Query Type, Keyword Position, Day Parts: Sexier PPC Analytics. #7. I mean really use the tools.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

IBM Big Data Hub

AUGUST 11, 2023

Data analytics and reporting: The MES software should provide comprehensive analytics and reporting capabilities, allowing you to track and analyze KPIs, production trends and efficiency metrics. ensure that the MES software complies with relevant standards and provides robust security measures to protect sensitive data.

Software 75

Software Manufacturing Cost-Benefit ROI 75

Smart Data Collective

SEPTEMBER 6, 2020

Data analytics is revolutionizing the future of ecommerce. A growing number of ecommerce platforms have expressed the benefits of data analytics technology and incorporated them into their solutions. How much of a role will big data play in ecommerce? billion on big data by 2025.

B2B 109

B2B Data Analytics Analytics Cost-Benefit 109

Occam's Razor

APRIL 21, 2014

about digital marketing and analytics. We will cover questions in four areas: business/strategy challenges, analytics/technical challenges, career/self-development questions and rampant speculation. Even the worst analytics configuration in the world will most likely allow you to measure cart and checkout abandonment rate.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Jet Global

AUGUST 17, 2020

Return on Investment (ROI) – It would take way too much time for a CFO or finance manager to review the ROI of every single investment a company made. Here are some of the benefits to using a financial reporting solution: Automated data collection. A KPI dashboard is a very powerful data collection tool.

Finance 98

Finance Metrics KPI Key Performance Indicator 98

datapine

JULY 6, 2022

When compared to some of the other examples in this post, the satisfaction KPI can be a bit harder to measure as it requires a different approach to data collection such as performing a feedback survey to your clients. An HR analytics software is the ideal tool to manage all the data you will collect after setting up your metrics.

Measurement 243

Measurement Metrics KPI Sales 243

CDW Research Hub

NOVEMBER 29, 2021

IoT edges are network hubs that often combine operational technology (OT) data and informational technology (IT) data. With edge computing, computation and data analytics are brought closer to the source of the data —where things and people produce or consume that information. Layer 2: Edge computing.

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

Alation

FEBRUARY 20, 2020

Architecturally the introduction of Hadoop, a file system designed to store massive amounts of data, radically affected the cost model of data. Organizationally the innovation of self-service analytics, pioneered by Tableau and Qlik, fundamentally transformed the user model for data analysis. The Rise of the Data Catalog.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Occam's Razor

OCTOBER 19, 2010

What is the first thing you want when you think about web analytics? recommending tools for the complete web analytics 2.0 Disclosure:] I am the co-Founder of Market Motive Inc and the Analytics Evangelist for Google. Web Analytics 2.0. This blog post is about web analytics 2.0. Of course tools. Don't be.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

MARCH 23, 2010

There are more mistruths and F U D about Web analytics out there than I think is reasonable. Web Analytics, this beautiful child, was born just the other day in the midst of tumultuous times, quite literally, when everything changes every day. Here are ten web analytics ground truths… 1. Part of it fueled by Vendors.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

AUGUST 13, 2012

A couple weeks back I'd requested the nice folks following me on Google+ and Facebook to submit their most important digital marketing and analytics questions. The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. That is the solution.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

datapine

OCTOBER 14, 2020

The point of such dashboards is not to simplify the working environment and analysis processes since there are massive volumes of data collected on a daily level, and companies need solutions that will bring them to the right answer at the right time. They provide ROI by quickly highlighting trends and dig out irregularities.

Dashboards 235

Dashboards Interactive Reporting KPI 235

datapine

JUNE 4, 2020

A chief technology officer (also referred to as chief technical officer or chief technologist), has an immense responsibility to drive a company forward and lead the technological advancements, research, development, and management in order to generate business value and increase the return on investment (ROI). Re-opened Tickets.

Dashboards 130

Dashboards Reporting Metrics Visualization 130

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. I’d be willing to bet a large-ish hedge fund on that claim.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. To prioritize, how do we do this?

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. One-third use human-in-the-loop.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49