BA Learnings

AUGUST 7, 2021

For example, do you have a CIO or Chief Information Officer position at your company? In this case, there is a clear KPI or metric for success, and you know what your project is setting out to do for you, which is a much more efficient way to approach digital transformation. If not, it’s time to reconsider your structure.

Digital Transformation 130

Digital Transformation Key Performance Indicator Cost-Benefit KPI 130

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. Working capital serves as a metric that evaluates a company’s liquidity, operational efficiency, and short-term financial well-being.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. Obsolete data and financial projections A budget, at its core, is a financial forecast.

Forecasting 90

Forecasting Marketing Risk Sales 90

BizAcuity

FEBRUARY 22, 2019

Financial Analytics combines the internal financial information and operational data with external information such as social media, demographics and big data thereby addressing critical business questions with unprecedented speed, ease and accuracy. Financial Analytics in Event Management Industry – A summary.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

FineReport

APRIL 9, 2021

However, companies operation generates numerous and complicated data every day, beyond traditional manual reporting capacity. You can source most of the information you need from the financial reporting. The underlying idea is to find the differences between goals and actual results by comparing corresponding metrics.

Reporting 98

Reporting Finance Dashboards Enterprise 98

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

Smart Data Collective

MAY 6, 2021

This is one of the best ways to use data to improve your social media marketing strategies. The data used is recycled from previous information attached to your old advertising. This includes information from apps, customer files, engagement and offline activity. How Can It Help Your Business? Making the Right Choice.

Advertising 69

Advertising Sales Marketing ROI 69

Jet Global

AUGUST 17, 2020

A finance department Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure used to evaluate a company’s financial performance. Internally, companies use financial metrics to evaluate prospective investments and track internal performance from a financial perspective.

Finance 98

Finance Metrics KPI Key Performance Indicator 98

Occam's Razor

APRIL 13, 2015

Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable. I also don't like the slew of metrics thrown at us in the standard report, hence I switch to the Comparison view and just pick the two metrics I want.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Jet Global

MAY 15, 2020

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. Under modern day reporting standards, companies are formally obligated to present their financial data in the following statements: balance sheet, income statement, and cash flow statement.

Metrics 98

Metrics Finance Reporting KPI 98

IBM Big Data Hub

MARCH 26, 2024

Our clients are improving their ability to measure and track progress against ESG metrics, while concurrently operationalizing sustainability transformation. It’s enabling employees to make informed decisions and understanding the climate impact based on that decision.

Measurement 68

Measurement Metrics Strategy Reporting 68

IBM Big Data Hub

SEPTEMBER 11, 2023

As AZDCS embarked on a 3-year transformation, Steven Hintze (AZDCS Chief Data and Product Officer) prioritized a human-centric design approach to elevate the usefulness and efficiency of their Comprehensive Child Welfare Information System (CCWIS) technology platform.

Data-driven 91

Data-driven IT Measurement Cost-Benefit 91

IBM Big Data Hub

AUGUST 11, 2023

MES systems offer real-time visibility and control over production processes, empowering stakeholders to monitor operations, address bottlenecks, reduce downtime and rework and make well-informed decisions promptly. ensure that the MES software complies with relevant standards and provides robust security measures to protect sensitive data.

Software 74

Software Manufacturing Cost-Benefit ROI 74

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). What Is A CTO Dashboard?

Dashboards 130

Dashboards Reporting Metrics Visualization 130

datapine

OCTOBER 14, 2020

Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They provide ROI by quickly highlighting trends and dig out irregularities.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Occam's Razor

JANUARY 30, 2012

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. Not today.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Alation

FEBRUARY 20, 2020

More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. By dramatically lowering the cost of storing data for analysis, it ushered in an era of massive data collection.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Domino Data Lab

JUNE 23, 2019

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. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

AUGUST 13, 2012

Bjoern Sjut3: My main issue at the moment: How will multi-channel funnels and ROI calculations work in a multi device world? That means: All of these metrics are off. Ensure you don't have to wait for "Web Authors" (or HiPPOs) to give you the information you need. "Was the data correct?"

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Information can get quite distorted after being abstracted that many times.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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? I believe these two posts with a collection of some of my favorite metrics will inspire you: 1. The post provides more detail. Joseph Boisseaux.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Andrew White

JANUARY 9, 2022

So in summary they are very similar concepts but data fabric seems to be the more rounded of the two. Where can I get more information on Data Fabric? – Here is a very popular data fabric resources: Data Fabric Architecture is Key to Modernizing Data Management and Integration. .

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

FEBRUARY 4, 2019

This month, let’s explore two themes in detail: take an in-depth look at Rev 2 and exploring how curiosity plays a vital, and perhaps non-intuitive, role in data science work. We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.),

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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. What metrics are used to evaluate success?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Metrics like: Multi channel value index. our measurement strategies 2.

Analytics 118

Analytics Consulting Metrics Experimentation 118

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. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Rocket-Powered Data Science

JULY 21, 2023

Here are four specific metrics from the report, highlighting the potentially huge enterprise system benefits coming from implementing Splunk’s observability and monitoring products and services: Four times as many leaders who implement observability strategies resolve unplanned downtime in just minutes, not hours or days.

Machine Learning 189

Machine Learning Metrics Reporting Internet of Things 189

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. The information a business gathers is filled with precious insights that will help it measure its performance, understand its customers, identify competitive advantages, and much more.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Occam's Razor

FEBRUARY 9, 2015

How is competitive intelligence data collected? Competitive intelligence data will never match your site's analytics tool. Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. Content Consumption Competitive Analysis. + #OMG Mobile, Where's Mobile Data! CI data collection.

Metrics 155

Metrics Reporting IT Advertising 155

Alation

FEBRUARY 17, 2023

Reichental describes data governance as the overarching layer that empowers people to manage data well ; as such, it is focused on roles & responsibilities, policies, definitions, metrics, and the lifecycle of the data. In this way, data governance is the business or process side. What do they care about?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

AUGUST 2, 2022

Using data to understand customers’ needs allows you to: Provide meaningful educational marketing materials. Ensure that customers have the information they need. Establishing and monitoring metrics that validate improvements. The results of this project were: Time-savings ROI of 3000%. Accelerate the sales cycle.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Occam's Razor

APRIL 29, 2013

Marketer, is not spent with data you''ll fail to achieve professional success.]. Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. You'll get fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

Jet Global

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

DECEMBER 20, 2021

That process typically begins with collecting detailed information from multiple stakeholders, comparing budget requests to historical numbers, determining the veracity of the promised benefits, and attempting to make a fair side-by-side comparison to pick out the most promising proposals. What are the tax implications?

Software 52

Software Recreation/Entertainment ROI Finance 52