erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability. Synchronicity.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

Smart Data Collective

APRIL 16, 2021

The World Economic Forum has included cyber-attacks and data breaches in the list of top global risks in 2020. The problems associated with data breaches cannot possibly be overstated. The average data breach cost $3.86 This is critical if you want to stop a data breach. Why do you need an email security plan?

Enterprise 143

Enterprise Data-driven Data Processing Risk 143

erwin

DECEMBER 3, 2020

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

IBM Big Data Hub

JUNE 23, 2023

Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. Risk management and controls are an imperative in F&A. Apply the controllership lens.

Finance 64

Finance Consulting Data-driven Risk 64

Alation

APRIL 19, 2021

The cloud supports this new workforce, connecting remote workers to vital data, no matter their location. Data Cloud Migration Challenges and Solutions. Cloud migration is the process of moving enterprise data and infrastructure from on premise to off premise. However, cloud data migration can be difficult.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

Jet Global

JUNE 22, 2023

Blogs Podcasts Whitepapers and Guides Tools and Calculators Webinars Sample Reports The Evolution of the CFO into the Chief Data Storyteller View Insight Now Our Favorite CFO Blogs The Venture CFO Blog Link: [link] Are you looking for blog posts for CFOs by CFOs? Then you have come to the right place. CFO 2.0 – The real-time analyst.

KPI 105

KPI Finance Dashboards Digital Transformation 105

Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data. Multi-tenant data access.

IT 116

IT Unstructured Data Data-driven Data Governance 116

Cloudera

FEBRUARY 18, 2021

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources.

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

IBM Big Data Hub

SEPTEMBER 6, 2023

While organizations gather data and undergo detailed reviews to craft a budget, the market doesn’t stand still. 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.

Forecasting 90

Forecasting Marketing Risk Sales 90

Jet Global

MARCH 20, 2023

This data is gleaned from a report from insightsoftware and Hanover Research: The Operational Reporting Global Trends Report. The issues finance and operations teams face are twofold: the nature and increasing demands for operational data and analytics, and the fact that tools on hand are not optimized to handle the data or analysis.

Operational Reporting 52

Operational Reporting Reporting Uncertainty Finance 52

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Organisations that reach the highest stage of data maturity achieve a market value increase of up to 500%, compared to lower maturity organisations.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Decision Management Solutions

AUGUST 19, 2021

Millions of dollars are being wasted on inefficient deployments of artificial intelligence, machine learning, and data decisioning technologies. This captain-less, crew-less, entirely AI-driven vessel is the first of its kind. These will be fascinating and stimulating webinars that you’ll be glad you joined.

Technology 52

Technology Machine Learning Data Processing Data-driven 52

Alation

MARCH 7, 2023

Nolan Steiner is a scuba diver, octopus lover, and data science team lead at Avista, an energy company involved in the production, transmission, and distribution of energy in eastern Washington, northern Idaho, and parts of Oregon. Below, Nolan shares how Avista uses Alation to transform data into value. Of course, data is a beast.

Data-driven 52

Data-driven Forecasting Data Science Optimization 52

DataRobot Blog

AUGUST 10, 2022

Change is happening fast across the NHS with the focus squarely on harnessing the huge amount of data the NHS generates — to drive forward the transformation programmes needed to address the backlog for elective care and growing demands for services. Resetting urgent care performance and delivery.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Smart Data Collective

JUNE 14, 2022

Big data technology is disrupting almost every industry in the modern economy. Global businesses are projected to spend over $103 billion on big data by 2027. While many industries benefit from the growing use of big data, online businesses are among those most affected. However, it doesn’t come without its difficulties.

Big Data 105

Big Data Data mining Metrics Sales 105

Smart Data Collective

NOVEMBER 24, 2020

Of course, adopting these data-driven solutions can make you more resilient in the face of a global pandemic or any other significant threats. Read on to learn more about businesses adopting innovative new data technology amidst the COVID-19 pandemic. The data from the discussions can be excellent for bolstering productivity.

Business Intelligence 116

Business Intelligence Big Data Cost-Benefit Forecasting 116

CIO Business Intelligence

MAY 11, 2022

At the CISO level, we’re seeing an unprecedented focus on gathering information about attackers to better understand what’s at risk and how to mitigate threats. This includes relevant global threat data, including actor, technique, and indicator intelligence. Want to learn more about achieving intelligence-driven security operations?

Marketing 97

Marketing Data-driven Enterprise Risk 97

Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. Situationally, it was a really good time to deploy a data mesh architecture and its principles and invest in this space because we were doing so much tech modernization,” Lavorini says. “So So why not make data a part of it?”

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 52

Domino Data Lab

OCTOBER 16, 2019

For additional vital signs and insight beyond what is provided in this article, attend the webinar. Many data scientists, ML researchers and their model-driven organizations have developed a model to solve a specific problem. What happens when no one is keeping track of how the models are performing on live data?

Metrics 49

Metrics Modeling Machine Learning Measurement 49

Jedox

OCTOBER 8, 2020

Though only twelve years ago, it truly highlighted the difference between possibility and probability and the danger and impact of tail risk. Given the incredible advances that cloud-based technologies have provided us with, we have never been in a stronger position to leverage the enormous amounts of data we currently have access to.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Jedox

OCTOBER 30, 2018

The dynamic Enterprise Performance Management approach is driven by new insights, detects patterns, responds to data in real-time and incorporates predictions for future developments. Discover the Value in Your Data. Data from your CRM, ERP and other systems is brought together and intelligently connected for analysis.

Enterprise 40

Enterprise Management Forecasting Sales 40

IBM Big Data Hub

OCTOBER 5, 2022

Having the ability to build and use models in this way is fundamental to managing supply chain and financial risk through activities like “what-if scenario planning”, as explained in this blog post. The need to collaborate, share data and agree on definitions across organizational boundaries and systems.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

Data Governance 52

Data Governance Data-driven Enterprise Risk 52

IBM Big Data Hub

JUNE 23, 2023

As the name suggests, it generates images, music, speech, code, video or text, while it interprets and manipulates preexisting data. For F&A leaders, this means that it may have the ability to transform financial data, such as business performance reports, commentary and narratives.

Finance 67

Finance Reporting Cost-Benefit Modeling 67

Sisense

JUNE 24, 2021

The proliferation of information, data, technology, and digital platforms means that the ability to leverage learning and education solutions has evolved dramatically in recent years. A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources.

Analytics 83

Analytics Measurement Dashboards Optimization 83

Andrew White

OCTOBER 21, 2019

What I found most interesting during the key note was the prominent position data and analytics took. The lack of trust in data; data being siloed and hard to find or get at. The lack of trust in data; data being siloed and hard to find or get at. Gut feel and emotion over practical data-driven insights.

Technology 56

Technology IT Data-driven Consulting 56

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. The simplest answer is that these terms refer to some of the many analytic methods available to Data Scientists. What are overlaps and differences?

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

Jet Global

SEPTEMBER 10, 2020

Many teams accept long hours and repetitive data entry as a necessary evil, the hard work required to get a clear and comprehensive portrait of financial performance. Spreadsheet Server puts an end to tedious, manual data dumps from NetSuite into Excel. The question is, does financial reporting have to be this way?

Finance 52

Finance Reporting Optimization Uncertainty 52

erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Are there data modeling tools to assist with such an effort?

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Data modeling for the cloud: good database design means “right size” and savings.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Jet Global

DECEMBER 31, 2019

You help companies adapt to a changing, tech-driven economy. If there is no advantage to taking a risk—knowing that failure is a possibility—an individual will assume business as normal. How quickly do companies need to become “data-driven”? If a data strategy is not being executed today, you’re already late.

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

CIO Business Intelligence

JUNE 22, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. .

IoT 98

IoT IT Manufacturing Internet of Things 98

Cloudera

APRIL 27, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. .

IoT 93

IoT IT Manufacturing Internet of Things 93

Jet Global

MARCH 17, 2020

We have enough data and tools at this point to start quantifying what diversity does instead of simply saying, “It makes people feel better.” ” It’s a tool, but it can’t be the final arbiter, and there are some real risks to thinking we can automate diversity. Technology helps ensure our objectivity.

Advertising 59

Advertising Data-driven Technology Optimization 59

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122