Jen Stirrup

JANUARY 2, 2020

I conducted a workshop in Florida recently, aimed at helping people to move from Business Intelligence to Analytics. I have added some guidelines for using Power BI with marketing and sales data. Overview of Analytics for Sales. Part 3 – Overview of Analytics for Sales. Part 4: Analytics in Python.

Business Intelligence 75

Business Intelligence Analytics Sales Big Data 75

IBM Big Data Hub

NOVEMBER 2, 2022

Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes. Meeting business goals with data insights. This suite of solutions helps transform the way clients can access, manage and consume business insights.

Data-driven 62

Data-driven Business Analytics Analytics Forecasting 62

IBM Big Data Hub

MAY 12, 2022

This results in the needed analytics being siloed and underutilized by decision makers who could benefit from this data and content…if they only knew it existed and was accessible. The most important types of analytics. The company used a combination of IBM Planning Analytics and Business Intelligence capabilities.

Business Analytics 57

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 57

Smart Data Collective

MARCH 25, 2021

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world.

Data-driven 125

Data-driven Analytics Business Intelligence Dashboards 125

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. No more sifting through droves of spreadsheets, no more patchwork data analysis, and reporting methods.

Reporting 245

Reporting Analytics Dashboards Sales 245

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Jen Stirrup

SEPTEMBER 19, 2019

360 Orlando and I’m presenting a workshop on From Business Intelligence to Business Analytics with the Microsoft Data Platform. Data becomes relevant for decision making when we start to use it properly, so this workshop will demonstrate the use of analytics for real-life use cases.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

datapine

MAY 17, 2021

In the digital age, those who can squeeze every single drop of value from the wealth of data available at their fingertips, discovering fresh insights that foster growth and evolution, will always win on the commercial battlefield. Moreover, 83% of executives have pursued big data projects to gain a competitive edge.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

datapine

AUGUST 21, 2019

Because after all – a business dashboard is worth a thousand Excel sheets. A sales graph example generated with a dashboard builder that will prove invaluable regardless of your niche or sector. 11) Sales KPI Dashboard. And rather than using Excel or Google Sheets to do so, you can focus on these charts instead.

Sales 235

Sales Dashboards KPI Visualization 235

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 141

Business Intelligence Dashboards Data mining OLAP 141

IBM Big Data Hub

OCTOBER 27, 2022

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

datapine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! What Are Restaurant Analytics? Why Are Restaurant Analytics Important? Data also can’t replace your creativity, your style, and your passion for your business.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. Additionally, the users’ demand for more and more analytics grew organically over time, to the point where it far exceeded our technology team’s bandwidth to support it on their own.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. The dedicated data analyst Virtually any stakeholder of any discipline can analyze data.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

FineReport

OCTOBER 21, 2019

With business intelligence(BI) tools play a more critical role in the enterprises, the technology is poised for an oversized effect in the coming year. BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. NoSQL database.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. The era of big data has arrived.

Modeling 52

Modeling OLAP Reporting Sales 52

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. The bulk of Business Intelligence efforts would also fall into this area, but there is some overlap with the area I next describe as well.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 82

Visualization Metadata Testing Internet of Things 82

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Jet Global

NOVEMBER 2, 2022

In the era of big data, it’s especially important to be mindful of that reality. That’s why today’s smart business leaders are using data-driven storytelling to make an impact on the people around them. The Path to Data Leadership: Embracing Embedded Analytics. Interested in Data Warehousing/BI Cubes.

Visualization 52

Visualization Sales Reporting Data-driven 52

Sisense

AUGUST 25, 2019

Don’t limit data analytics to your data teams. In every team, across all functions of your business, appoint champions to become expert builders of dashboards. Push the limits of data analysis. Use a technology that stretches the limits of data analytics. Don’t leave it to the data team.

Data-driven 75

Data-driven Slice and Dice Sales Reporting 75

Peter James Thomas

AUGUST 12, 2018

This is why performance management is a very complex discipline, not just the implementation of dashboard or scorecard technology. Regular facts are subject to data quality issues, or manipulation by creative humans. Especially for all Business Analytics professionals out there (2009). [7]. One of my Top Ten films. [6].

Metrics 49

Metrics Statistics Data Quality Measurement 49

Peter James Thomas

AUGUST 2, 2019

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. It includes 30 new definitions, some of which have been contributed by people like Tenny Thomas Soman, George Firican, Scott Taylor and and Taru Väre. Thanks to all of these for their help.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Cloudera

NOVEMBER 2, 2020

Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. Mix of ad hoc exploration, dashboarding, and alert monitoring. The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. Tech Preview).

Data Warehouse 91

Data Warehouse Optimization Dashboards Interactive 91

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

IBM Big Data Hub

AUGUST 4, 2023

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. Beyond the technical aspects, the goals are far loftier.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64