Smarten

NOVEMBER 22, 2017

Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions. These tools allow the enterprise to establish and monitor key metrics and to objectively assess results. How Can Advanced Analytics Advance Your Organization?

Analytics 40

Analytics IT Business Intelligence Visualization 40

AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. When the model is ready, it can be accessed using SQL from within Amazon Redshift using any business intelligence (BI) tool.

Forecasting 82

Forecasting Data Warehouse Machine Learning Modeling 82

Data Insight

APRIL 15, 2019

As a result, there’s a dizzying amount of data at our fingertips, which has created a whole new level of business intelligence for companies to capitalise on. That’s a massive shift in quite a short time frame from traditional metrics without us even realising it. What does our future strategy and technology roadmap look like?

Data-driven 40

Data-driven Metrics Measurement Strategy 40

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. For example: Is this a good way to define New Business Growth? Do we need to take account of pricing changes between Repeat Business this year and last year?

Metrics 49

Metrics Statistics Data Quality Measurement 49

datapine

MAY 11, 2022

Recent studies discovered that the use of visualizations in data analytics could shorten business meetings by 24%. Moreover, a business intelligence strategy with visualization capabilities boasts a ROI of $13.01 back on every dollar spent. c) Pie charts. d) Gauge charts. d) Area chart. Tell Your Tale.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Peter James Thomas

OCTOBER 1, 2019

Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. The single red line shows the actual value of some metric up to the middle section of the chart. Most charts have two axes. In Closing.

Sales 61

Sales Measurement Statistics Data Architecture 61

CIO Business Intelligence

JANUARY 23, 2023

When Strickland joined Wyndham in 2017, he served as a traditional CIO, but he soon expanded his portfolio with vendor management, selling the argument that because IT constituted the bulk of the spend, it made sense to centralize under one organization and management.

Digital Transformation 145

Digital Transformation Technology Management Insurance 145

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? Katherine Twomey, Gert Westermann (2017). This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Smarten

APRIL 24, 2019

Let’s take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world. How Can Augmented Analytics Add Value to Business Intelligence? Here are just a few of the ways in which self-serve augmented analytics can add value to business intelligence.

Business Intelligence 0

Business Intelligence Analytics IT Metrics 0

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

HBR Review May/June 2017. Data Intelligence and Metadata. Data intelligence is fueled by metadata. For this reason, data intelligence software has increasingly leveraged artificial intelligence and machine learning (AI and ML) to automate curation activities, which deliver trustworthy data to those who need it.

Metadata 64

Metadata Data Governance Dashboards Software 64