CIO Business Intelligence

JULY 20, 2022

The 2022 State of the CIO research confirmed talent acquisition and retention strategies are a key issue for CIOs, cited by 38% of respondents, with cybersecurity skills, data science/analytics, and artificial intelligence (AI) and machine learning (ML) in top demand. It’s death by 1,000 paper cuts. That’s the real issue.”.

IT 130

IT Software Cost-Benefit Strategy 130

Smarten

NOVEMBER 22, 2017

The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem. What is Advanced Analytics? These tools allow the enterprise to establish and monitor key metrics and to objectively assess results.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Remember, when someone says mobile analytics, first ask the clarifying question: Do you mean mobile application or mobile website ? Tag your mobile website.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

MAY 2, 2017

The very best analysts are comfortable operating with ambiguity and incompleteness, while all others chase perfection in implementation / processing / reports. There is no golden metric for everyone, we are all unique snowflakes! :). and tell you what are the best key performance indicators (metrics) for them.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

AWS Big Data

AUGUST 7, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. About the authors Tahir Aziz is an Analytics Solution Architect at AWS. and Karra Taniskidou, E.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

datapine

MAY 11, 2022

Visualization plays an important part in data analytics and helps interpret big data in a real-time structure by utilizing complex sets of numerical or factual figures. Recent studies discovered that the use of visualizations in data analytics could shorten business meetings by 24%. Know Your Audience. Set Your Goals.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Juice Analytics

APRIL 21, 2019

Merely documenting a wish list of reports, fields and filters is a recipe for low adoption and canceled subscriptions. Collecting good requirements is less about a laundry list of charts and metrics, but an understanding of how information can transform the business from how it exists today. What are the key decisions made every day?

Insurance 69

Insurance Dashboards Metrics Reporting 69

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. Reporting/dashboards were terribly created ( CDPs anyone? ). Metrics matter. What do you think happened? Another issue. Humans are pavlovian.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

Smarten

JANUARY 7, 2020

There are few businesses today that have the luxury of waiting for information, data or reports. Every business understands the value of objective metrics and accurate analysis and the modern BI environment is designed to support these goals at every level of the organization. What is Modern BI?

IT 52

IT Business Intelligence ROI Reporting 52

CIO Business Intelligence

JANUARY 23, 2023

With technology now a pervasive enabler of all aspects of the business, CIOs have the end-to-end visibility and cross-functional insights that other executives lack, not to mention oversight of key enterprise assets such as data and analytics. “We

Digital Transformation 145

Digital Transformation Technology Management Insurance 145

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Cloudera

MAY 18, 2021

With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. Value-at-Risk (VaR) is a widely used metric in risk management. It helps identify risk exposures, informs pre-trade decisions, and is reported to regulators for stress testing.

Risk 99

Risk Marketing Risk Management Data-driven 99

Sisense

MARCH 25, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. Here are a few popular options: wakatime.com The “developer dashboard” summarizes key metrics through a personal dashboard, with each project, language, and branch detected automatically.

Dashboards 75

Dashboards Visualization Reporting Management 75

Occam's Razor

JANUARY 8, 2018

Predictive analytics. If you are a reader of my newsletter, The Marketing < > Analytics Intersect , you’ve seen me apply it to metrics (last TMAI was on Bounce Rate), reports, frameworks and more. In 2017, they've twice replaced the company's Chief Revenue Officer. Multi-petabyte data warehouses.

Sales 133

Sales Predictive Analytics Insurance Data Warehouse 133

Smarten

APRIL 24, 2019

The Merriam-Webster dictionary defines the word ‘augment’ this way: ‘to make greater, more numerous, larger or more intense’ If you are wondering how this applies to the term ‘augmented analytics’, you are not alone. What is Augmented Analytics? Users can compare results against plans and forecasts.

Business Intelligence 0

Business Intelligence Analytics IT Metrics 0

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Business Over Broadway

DECEMBER 20, 2018

Using Predictive Analytics and Artificial Intelligence to Improve Customer Loyalty – As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand. Data Science/Analytics Tools, Technologies and Languages used in 2017.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Occam's Razor

DECEMBER 8, 2017

Now, let’s talk analytics and accountability. If the Surface Marketing team is like every other team at every other company engaged in sponsorships and television advertising, it’ll measure the same collection of smart metrics like everyone else. A report has been published on The Age of Social Influence.

Broadcasting 121

Broadcasting Measurement Marketing Sales 121

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Occam's Razor

JUNE 7, 2017

And, less than 1% engagement of any kind from that less than 1% reached (identified using the best social media metrics: Conversation Rate, Amplification Rate, Applause Rate ). To give you some context as to how insanely lame these numbers are, Expedia.com received 59,400,000 Visits in May 2017. 3/6,462,977. Here’s an example.

Advertising 162

Advertising Marketing B2B ROI 162

Alation

AUGUST 26, 2021

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. For years, analysts in enterprises had struggled to find the data they needed to build reports. HBR Review May/June 2017. Cloud Transformation.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MARCH 2, 2022

In recent years, investors have been placing an increased emphasis on a range of environmental, social, and governance (ESG) issues resulting in ESG reporting becoming more important. As a result, there are more demands on companies to report on their activities and practices and how they impact environmental and social sustainability.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Occam's Razor

JULY 13, 2017

By design none of them from the world of digital analytics, though I’ll stay connected to that world from a how could you use this idea perspective. The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession. Good reporting.

Visualization 124

Visualization Strategy Interactive Statistics 124