O'Reilly on Data

DECEMBER 19, 2018

Data management isn’t limited to issues like provenance and lineage; one of the most important things you can do with data is collect it. Given the rate at which data is created, data collection has to be automated. How do you do that without dropping data? Toward a sustainable ML practice.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

JANUARY 20, 2023

But to get maximum value out of data and analytics, companies need to have a data-driven culture permeating the entire organization, one in which every business unit gets full access to the data it needs in the way it needs it. This is called data democratization. Security and compliance risks also loom. “All

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

BizAcuity

NOVEMBER 13, 2024

As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth. Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

NOVEMBER 22, 2022

Data observability becomes business-critical Data observability extends the concept of data quality by closely monitoring data as it flows in and out of the applications. CIOs should first understand the different approaches to observing data and how it differs from quality management,” he notes.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

MAY 24, 2023

The US Department of Commerce (DOC) is probably the biggest collector of data in the United States. They collect, archive, and analyze everything from weather and farming data to scientific and economic data. Poor data quality leads to poor decisions and recommendations.

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

datapine

FEBRUARY 22, 2022

Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Clean data in, clean analytics out.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

datapine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. The purpose is of course to make more money, but it is not just for money’s sake.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

OCTOBER 2, 2024

According to Briski, this is an iterative process that involves a variety of tasks to get to the highest quality data — those signals that improve the accuracy of a model. And quality is relative to the context of the domain you’re in, so an accurate response for finance, for example, may be completely wrong for healthcare. “As

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Jedox

NOVEMBER 17, 2022

The Office of Finance has evolved to become a key player in supporting strategic business decisions that reaches beyond day-to-day number crunching and Excel spreadsheets. While the Office of Finance has historically been the warehouse of all financial data, the days of this data sitting in silos are limited.

Finance 77

Finance Cost-Benefit Forecasting Reporting 77

Jet Global

AUGUST 23, 2021

Used primarily in a strategic context by corporate Finance Divisions and Boards of Directors, financial statements are key documents that must be prepared and produced with care. On this point, we can see that spreadsheets, such as Excel, are still being used by many Finance Divisions to produce their financial statements.

Finance 52

Finance Data Collection Reporting Data Quality 52

CIO Business Intelligence

APRIL 25, 2022

It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup. Data Science Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. Database design is often an important part of the business analyst role.

Statistics 97

Statistics Metrics Visualization Finance 97

Smart Data Collective

SEPTEMBER 22, 2021

Experts continue to raise concerns about how and if businesses are making use of unstructured data, but in addition to actively sharing that information, until access to machine learning protocols is more widespread, the ability to effectively utilize this information and derive insights will be compromised.

Unstructured Data 135

Unstructured Data Management Cost-Benefit Machine Learning 135

Sisense

OCTOBER 15, 2020

Every data professional knows that ensuring data quality is vital to producing usable query results. Streaming data can be extra challenging in this regard, as it tends to be “dirty,” with new fields that are added without warning and frequent mistakes in the data collection process.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Jet Global

FEBRUARY 25, 2025

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 52

Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Cloudera

FEBRUARY 14, 2018

operations, and our CISO’s team while we invest in and form a stronger data and analytics team. Tongue in cheek – our biggest issue right now is we struggle with the CDIO title and team name as it’s quite a mouthful – but we’re a crafty crew of people who will figure that one out.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). What is A Financial Dashboard?

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

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

Peter James Thomas

AUGUST 29, 2018

However, in reality, the CDO role encompasses Enterprise Data Management, although generally speaking the EDM role includes responsibility for the day to day operations of the collection processes, which in my current role I don’t have. This is where the process efficiency impacts good data collection.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

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.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

CIO Business Intelligence

OCTOBER 2, 2024

Companies need to establish clear guidelines for how its data is collected, stored and used, and ensure compliance with data protection regulations like GDPR in the EU, CCPA in California, LGPD in Brazil, PIPL in China and AI regulations such as EU AI Act. Finance and procurement.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

Occam's Razor

DECEMBER 12, 2016

Data quality plays a role into this. And, most of the time, regardless of the size of the size of the company, you only know your code is not working post-launch when data is flowing in (not!). You got me, I am ignoring all the data layer and custom stuff! You plus Finance plus CMO.]. All that is great.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection. Secondly, because stakeholders.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Jet Global

APRIL 14, 2022

However, they require knowledge of SQL to generate, can be rigid, and do not cover the specific custom reporting needs of real estate finance teams. Finance teams may need to lean on their IT department or external contractors to create insightful reports, rather than spend days creating them themselves. Improve data quality.

Data Collection 52

Data Collection Management Finance Reporting 52

Jet Global

MAY 9, 2024

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 16, 2022

Automation is your key to success in Finance and this includes your close. A recent survey by Hanover Research found that a staggering 49% of Finance professionals felt unable to execute their tasks completely because their current manual processes were too time consuming. Longview Close Solution Overview. Access Resource.

Finance 52

Finance Reporting Management Software 52

Jet Global

MARCH 4, 2024

The Corporate Sustainability Reporting Directive (CSRD) and the European Sustainability Reporting Standards (ESRS) are part of the EU’s sustainable finance agenda and aim to support the transition to a green and inclusive economy. What is the best way to collect the data required for CSRD disclosure?

Reporting 52

Reporting Management Cost-Benefit Publishing 52

Jet Global

MARCH 4, 2024

Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability. Built on proven technology trusted by thousands, it delivers investor-grade data with robust controls, audit trails, and security. It’s not just a solution, it’s a partnership for a greener future.

Reporting 52

Reporting Data-driven Metrics Software 52

CIO Business Intelligence

FEBRUARY 5, 2025

Half of CFOs say they plan to cut AI funding if it doesnt show measurable ROI within a year, according to a global survey from accounts payable automation firm Basware, which included 400 CFOs and finance leaders. Leverage existing data and infrastructure to avoid costly delays in data collection or system integration.

Cost-Benefit 117

Cost-Benefit ROI Metrics Measurement 117