CIO Business Intelligence

NOVEMBER 2, 2023

The Salesforce report found that 87% of technical leaders say that advances in AI make data management a higher priority and 92% say that trustworthy data is needed more than ever before.

Data Strategy 132

Data Strategy Strategy Sales Data Governance 132

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. 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. It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

MAY 2, 2023

While citizen developers can improve micro-efficiency, business agility, and innovation, they also present risks, such as security, compliance, privacy, data quality, duplication of efforts and technologies, and mounting technical debt.

Cost-Benefit 100

Cost-Benefit Risk Enterprise Optimization 100

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. The Active Data Ratio metric determines the percentage of datasets that deliver value.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

datapine

JANUARY 24, 2021

Or even better: “Which marketing campaign that I did this quarter got the best ROI, and how can I replicate its success?”. These key questions to ask when analyzing data can define your next strategy in developing your company. As Data Dan reminded us, “did the best” is too vague to be useful. Giving the most ROI?

IT 317

IT Statistics KPI Data-driven 317

Anmut

APRIL 6, 2023

What are the Benefits of Doing a Data Maturity Assessment? How do you do a Data Maturity Assessment? What does a Data Maturity Assessment Measure? What makes a Good Data Maturity Assessment? What is a Data Maturity Assessment? What does a Data Maturity Assessment Measure?

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. And you, as the product manager, are caught between them.

Management 327

Management Machine Learning Experimentation Metrics 327

Anmut

APRIL 6, 2021

Most organisations undergoing a digital transformation understand that data is critical, but how many are actually managing data as an asset ? While businesses are happy to make investments in their underlying technology to become more data-driven, they could fail to realise an ROI because their data assets are poorly managed.

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

CDW Research Hub

MAY 29, 2019

Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders. Checklist: Building an Enterprise Data Governance Program.

Data Governance 40

Data Governance Data Quality ROI Metadata 40

CIO Business Intelligence

MAY 20, 2022

National Grid is a big Microsoft Azure cloud customer due to its secure, proprietary nature, says Karaboutis, and is using a bevy of leading-edge tools, from Snowflake, Azure, and Matallion ETL for data tooling, Informatica for data quality, Reltio for master data management, and Blue Prism for RPA, to name a few.

IT 101

IT Digital Transformation Internet of Things Data Architecture 101

Anmut

APRIL 6, 2021

“Data is the new corporate currency” This phrase is regularly thrown around but most organisations are not connecting the dots, failing to see their data as a tangible asset in order to help their digital transformation efforts succeed.?. Your data isn’t fit for purpose. trillion every year due to poor data quality.

Digital Transformation 52

Digital Transformation Data Quality Data-driven ROI 52

datapine

DECEMBER 17, 2019

The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus. Quality over quantity: Data quality is an essential part of reporting, particularly when it comes to IT. a comparison of the IT spending versus its budget. a comparison of the costs and the revenue generated.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

FineReport

MAY 31, 2023

Return on assets measures the net profit generated per unit of asset, while return on equity (ROE) signifies the return on shareholders’ equity, indicating the efficiency of the company’s own capital. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

datapine

MARCH 27, 2019

Download right here your quick summary of the customers’ data world! Improving the ROI of your promotional and marketing activities. Unless you take the necessary precautions, you run the risk of having to deal with multiple non-common data entries that may make your stats, facts, figures, and metrics inconsistent.

Management 129

Management Data-driven Dashboards Visualization 129

datapine

APRIL 15, 2020

You will measure your success by delivering the project, not by the level of documentation you’re producing, therefore, documentation should be developed only when necessary. That way, your feedback cycle will be much shorter, workflow more effective, and risks minimized. Accept change.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Anmut

NOVEMBER 3, 2020

Today, the most successful organisations are the ones that have, and understand, their data assets. This means they make considered data investment plans – prioritising data investments to get the best ROI from this unique asset. Data isn’t subject to the same forces as other assets.

Management 52

Management ROI Metadata Data Quality 52

Jet Global

MAY 28, 2019

A data warehouse is typically used by companies with a high level of data diversity or analytical requirements. The only downside about a data warehouse is that, historically, it has a reputation for being complex, time-consuming, and expensive to build and maintain. Enhancing a Data Warehouse with Cubes.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Risk Management (most likely within context of governance).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

datapine

MAY 17, 2021

Augmented Data Preparation grants people within business access to more purposeful data so that they can test all assumptions and approaches to information-based decision-making with more confidence and ease. It promotes data quality management and governance and allows for data transparency.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

IBM Big Data Hub

SEPTEMBER 11, 2023

How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. Each recommendation was grounded in the user research conducted and validated to render significant return on investment (ROI) to the business mission of AZDCS. frequency (how many occurrences?),

Data-driven 88

Data-driven IT Measurement Cost-Benefit 88

Domino Data Lab

JUNE 23, 2019

These measurement-obsessed companies have an advantage when it comes to AI. Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement. To prioritize, how do we do this?

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration. Why does this matter?

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link?

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JANUARY 27, 2022

Data analytics is a way to make sense of raw data. Raw data includes market research, sales data, customer transactions, and more. Analytics can identify patterns that depict risks, opportunities, and trends. And historical data can be used to inform predictive analytic models, which forecast the future.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52