datapine

JUNE 7, 2022

1) Misleading Data Visualization Examples. 3) The Impact Of Bad Data Visualizations. But while that may be the case, people are duped by data visualizations every day. Bad data visualizations come in many forms, with some more obvious than others. Your Chance: Want to create your own data visualizations for free?

Visualization 267

Visualization Metrics Statistics Dashboards 267

Laminar Security

DECEMBER 22, 2023

In the age of cloud computing, data security and cost management are paramount for businesses. Data Security Posture Management (DSPM) serves as a critical tool in this landscape, offering businesses a way to keep their data secure while also managing their cloud storage costs effectively.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

IBM Big Data Hub

SEPTEMBER 6, 2023

Misconfigurations, like a cloud storage bucket that exposes sensitive data to the public internet, are also common. This includes identifying responsible stakeholders, earmarking resources, setting goals, and defining key performance metrics. Coding errors—e.g.,

Management 106

Management Metrics Risk Reporting 106

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

IBM Big Data Hub

NOVEMBER 24, 2023

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. Duplicative capabilities across applications and channels give rise to duplicative IT resources (e.g.,

Cost-Benefit 96

Cost-Benefit Testing Data-driven Enterprise 96

DataKitchen

JULY 12, 2023

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. While people can do what they want with language (and many often do), syntax helps ordinary language users understand how to organize words to make the most sense.

Data Quality 130

Data Quality Testing Manufacturing Finance 130

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. We find it helpful to think of data operations as a factory. We find it helpful to think of data operations as a factory. Most organizations run the data factory using manual labor. What is DataOps. Source: Wikipedia.

Testing 157

Testing Dashboards Measurement Experimentation 157

IBM Big Data Hub

FEBRUARY 16, 2024

However, unlike red teaming and pen testing, BAS tools are fully automated and can provide more comprehensive results with fewer resources in the time between more hands-on security tests. These agents attempt to breach protected systems and move laterally to access critical assets or sensitive data.

Testing 80

Testing IoT Reporting Data-driven 80

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Paul Blogs on BI

NOVEMBER 13, 2023

I have a had a lot of conversations about data strategy this year. With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. This is where the infamous “How do you eat an elephant?” conundrum comes in.

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

IBM Big Data Hub

FEBRUARY 15, 2024

But managing the sheer volume of data, nodes, pods, services and endpoints that comprise Kubernetes environments requires observability practices that are appropriate for the job. In this blog, we discuss how Kubernetes observability works, and how organizations can use it to optimize cloud-native IT architectures.

Metrics 72

Metrics Key Performance Indicator Snapshot KPI 72

IBM Big Data Hub

OCTOBER 19, 2023

And now, IBM has helped us take our platform to the next level by embedding IBM watsonx Assistant and IBM Watson Discovery into Make Music Count’s web application. Our IT team needed help on the back end with data management and navigating user insights so we can keep fine-tuning our platform and resources.

Strategy 83

Strategy Testing Interactive Technology 83

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Laminar Security

MAY 25, 2023

However, without rethinking your security and controls, these benefits can come with an increased risk of cyber attacks, data breaches, and other security threats. It involves a set of practices, tools, and technologies that help protect cloud native applications and data from threats and vulnerabilities.

Cost-Benefit 96

Cost-Benefit Risk Technology Software 96

Paul Blogs on BI

OCTOBER 6, 2022

So, for Part 4 of this blog series, I would like to review how you can leverage BusinessObjects to enable and accelerate tools like PowerBI. . PowerBI is not free and requires a lot of skilled resources to implement and maintain it. PowerBI is not free and requires a lot of skilled resources to implement and maintain it.

Recreation/Entertainment 52

Recreation/Entertainment Dashboards Reporting Visualization 52

erwin

MARCH 30, 2020

Data intelligence has a critical role to play in the supercomputing battle against Covid-19. Rensselaer Polytechnic Institute (RPI) is one of the organizations that has joined the consortium to provide computing resources to help fight the pandemic. Answering these questions is at the heart of data intelligence.

Metadata 122

Metadata IT Data Governance Data Quality 122

Ontotext

MAY 31, 2023

To support drug discovery, Ontotext has recently developed a method for gene-disease link prediction, which can help focus research efforts where it would matter most and speed up the drug development process. What are the benefits of Ontotext’s method?

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

IBM Big Data Hub

JANUARY 24, 2024

There are times, though, when organizations prefer to keep certain applications and data in their own data center—security and compliance requirements or control of sensitive data for example. Migrating to the cloud versus a data center refresh is a complex decision.

Strategy 65

Strategy Data Processing Optimization Software 65

Ontotext

JUNE 22, 2023

But what if we reverse this process? What if we first find out how a disease occurs, what pathological processes are involved on the cellular and molecular levels, which genes and proteins play a role and how they interact? Researchers have to sift through huge amounts of data, dispersed over multiple databases as well.

Metrics 52

Metrics Statistics Visualization Metadata 52

IBM Big Data Hub

SEPTEMBER 13, 2023

Organizations are wrestling with a pressing concern: the speed at which they respond to and contain data breaches falls short of the escalating security threats they face. According to the Cost of a Data Breach 2023 Report by IBM, the average cost of a data breach reached a record high of USD 4.45 million this year.

Risk 101

Risk Management Strategy Measurement 101

IBM Big Data Hub

AUGUST 16, 2023

An adept, well-resourced and experienced attacker could very well be your worst cyberthreat nightmare. Find out about the benefits of red teaming, the differences between red and blue teams and what a purple team is in my previous blog post, “ Red teaming 101: What is red teaming? In practice, they are not.”

Testing 57

Testing Cost-Benefit Risk Consulting 57

datapine

JUNE 27, 2019

For any business to succeed, it needs purpose, direction, and the resources to grow as well as adapt to the landscape surrounding it – which is why strong leadership is essential. And to gain greater vision, you need to embrace the power of digital data. What Is A CEO Dashboard? Wider accessibility to important data.

Dashboards 245

Dashboards Sales Cost-Benefit Visualization 245

datapine

MARCH 31, 2022

3) What Are the First Steps To Getting Started? Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 Table of Contents. It’s Flexible.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

erwin

MARCH 17, 2020

Teams need to urgently respond to everything from massive changes in workforce access and management to what-if planning for a variety of grim scenarios, in addition to building and documenting new applications and providing fast, accurate access to data for smart decision-making. Data Modeling. Data Governance.

Data Governance 138

Data Governance Enterprise Modeling Metadata 138

IBM Big Data Hub

MAY 17, 2023

Similarly with ticket reopens: if a ticket is reopened after being resolved, it indicates the need to address an issue with training or IT resources. Not only can it lead to more inefficiencies, but it can also add to expenses by requiring additional resources to correct mistakes and deal with delays.

Management 73

Management IT Optimization Consulting 73

datapine

OCTOBER 17, 2019

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. In this blog post, we’re going to give a bit of background and context about management reports, and then we’re going to outline 10 essential best practices you can use to make sure your reports are effective.

Reporting 263

Reporting Management Dashboards KPI 263

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! This simple statement captures the essence of almost 10 years of SQL development with modern data warehousing.

Visualization 107

Visualization Optimization Unstructured Data Dashboards 107

Ontotext

FEBRUARY 1, 2024

For example, the method for managing multilingual taxonomies became massively simpler (once concept could now hold multiple language labels), resulting in huge cost savings compared with the previous data model. The widespread adoption of RDF as a semantic data model transformed simple taxonomies into extensible and expressive ontologies.

Enterprise 59

Enterprise Management Metadata Modeling 59

IBM Big Data Hub

NOVEMBER 30, 2022

But what is embeddable AI, and what are its uses? So, it’s crucial for companies that want to add specific AI capabilities to their applications or workflows to do so without expanding their technology stack, hiring more data science talent, or investing in expensive supercomputing resources.

Software 88

Software Technology Modeling Marketing 88

Cloudera

SEPTEMBER 1, 2020

What is ‘Data Discovery and Exploration’ in CDP Data Hub? What is ‘Data Discovery and Exploration’ in CDP Data Hub? The Data Discovery and Exploration (DDE) template in CDP Data Hub was released as Tech Preview a few weeks ago. data best served through Apache Solr).

Snapshot 66

Snapshot Unstructured Data Dashboards Interactive 66

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111

Analytics IoT Data-driven Snapshot 111

Jet Global

JULY 12, 2023

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.

Visualization 59

Visualization Statistics Scorecard Measurement 59

IBM Big Data Hub

DECEMBER 18, 2023

Step one: Kickoff and discovery In this stage, we meet with your DNS team and scope out the migration project. By the end of this phase, we should be aligned on what you want to achieve and how we’ll get you there. By the end of this phase, we should be aligned on what you want to achieve and how we’ll get you there.

Risk 76

Risk Metrics Optimization Testing 76

DataRobot Blog

MAY 31, 2022

In this blog post, the DataRobot team will show how the DataRobot AI Cloud Platform can build models to predict if an employee will depart an organization in the next six months. In this example, DataRobot joined five secondary datasets to one primary dataset using Feature Discovery. Sample Use Case.

Management 59

Management Risk Testing Modeling 59

Smarten

NOVEMBER 26, 2023

Planning for Adoption of Business Intelligence Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition.

Business Intelligence 52

Business Intelligence Software Reporting Technology 52