Dataiku

JANUARY 19, 2022

Risks of failing to implement a data quality assurance policy can be far reaching, especially when it is a reactive versus proactive approach. Imagine incorrect or broken automated reports for stakeholders, causing not only hours of rework, but loss of confidence in the value of the data.

Data Science 64

Data Science Data Quality Risk Analytics 64

IBM Big Data Hub

FEBRUARY 28, 2024

Building a global network of data centers with enough capacity, security and resilience to meet the requirements of today’s internet requires a significant investment in both equipment and people. Data-driven : Real-time analytics dramatically improve the performance and responsiveness of today’s managed DNS offerings.

Management 105

Management Data Processing Data-driven Optimization 105

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

Data-driven 129

Data-driven Software Manufacturing Big Data 129

Juice Analytics

NOVEMBER 11, 2021

When it comes to using data, many organizations are reminiscent of the famous poem “Rime of the Ancient Mariner”: “Water, water, every where, Nor any drop to drink”. Data is everywhere, but it seldom seems to quench the thirst for smarter decisions. (As What does it take for an organization to be able to unlock the value in its data?

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

DataKitchen

JUNE 19, 2023

Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. Given the complicated distributed systems we use to get value from data and the diversity of data, we need a simplifying framework. That idea is the Data Journey.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

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. What should be in that report about your data team? Introduction. You’ve got a new boss.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. In business analytics, fire-fighting and stress are common.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Sisense

JANUARY 14, 2021

Especially when dealing with business data, trust in the figures is an essential element of every transaction. A reputation for stability and accuracy is critical in the fintech industry, dealing as it does with sensitive, high-impact data and security challenges. For analytics teams, trust is hard to gain and easy to lose.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

O'Reilly on Data

JUNE 27, 2023

When a person clicked “submit,” the website would pass that form data through some backend code to process it—thereby sending an e-mail, creating an order, or storing a record in a database. Each invocation of an AI chatbot is a probabilistic journey through its training data. That code was too trusting, though.

Risk Management 224

Risk Management Risk Management Modeling 224

Smart Data Collective

SEPTEMBER 30, 2021

While obtaining and processing data is a challenge, several start-up companies are developing tools that will not only quantify emissions but also help develop plans (based on data) on how to reduce emissions, such as through laying out more sustainable and informed decision making or through switching to viable renewable energy sources.

Machine Learning 120

Machine Learning Cost-Benefit Optimization Forecasting 120

CIO Business Intelligence

AUGUST 2, 2022

Reyes accomplishments and success in the IT industry was acknowledged last year in an award-winning CIO.com article profiling Hispanic technology executives who have broken through barriers to rise to the top of the IT industry, paving a path for others to follow.

Data Quality 97

Data Quality Digital Transformation Machine Learning Predictive Analytics 97

Smart Data Collective

JANUARY 2, 2023

Data analytics technology is becoming more important for marketing than ever before. One of the many ways that marketers are leveraging data analytics is SEO. Data-driven SEO can be very beneficial for any company trying to boost organic search traffic to their product pages. Identify the Best Keywords.

Data Analytics 123

Data Analytics Analytics Data-driven Marketing 123

CIO Business Intelligence

OCTOBER 6, 2023

Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders. PayScale offers data on similar job titles that fall under the category of business analyst.

IT 128

IT Business Analysis Key Performance Indicator Cost-Benefit 128

Alation

AUGUST 9, 2022

Today, data is more valuable to a company than it’s ever been. It can help you make data-driven decisions which can improve business performance, boost revenue, and improve efficiencies. But in the four years since it came into force, have companies reached their full potential for data integrity? What is data integrity?

Data Integration 52

Data Integration Data Quality Measurement Strategy 52

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

SEPTEMBER 20, 2023

The nature of that partnership is pretty technical, involving powerful AI models—built with watsonx —that analyze massive data sets to generate insights that help ESPN Fantasy Football team owners manage their teams. Data has always been a big part of the game of football. When I was playing, I sought out statistical data.

Statistics 87

Statistics Technology Reporting Management 87

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Identify Resources.

Management 52

Management Data Quality Metadata Testing 52

Jet Global

APRIL 14, 2021

While this digital revolution makes things easier for healthcare providers and creates a higher quality of care, it can also provide a quantitative analysis of the operational performance at a hospital or clinic. What is a Healthcare KPI? Why Your Business Should Be Using Healthcare Specific KPIs.

Metrics 98

Metrics Reporting KPI Insurance 98

CIO Business Intelligence

APRIL 21, 2022

Rapidly responding to dynamic market demands without compromising quality is required for survival. Successful companies today are lean, agile organizations with executives who have a vision and a mindset that empowers collaboration so employees can achieve that vision. To bring value, a culture that is creative and innovative must be built.

Digital Transformation 145

Digital Transformation Key Performance Indicator Risk Testing 145

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

CIO Business Intelligence

MAY 6, 2022

RCA is typically used to find the root cause of software or infrastructure problems to improve the quality and efficiency of processes, and thereby to save time and money. RCA is typically used to find the root cause of software or infrastructure problems to improve the quality and efficiency of processes, and thereby to save time and money.

Management 98

Management Risk Management Visualization Risk 98

IBM Big Data Hub

NOVEMBER 15, 2023

offers intuitive tooling for powerful foundation models; watsonx.data enables compute-efficient, scalable workloads wherever data resides; and the third component, watsonx.governance , provides guardrails essential to responsible implementation. These capabilities allow ISVs to better address their clients’ industry-specific needs.

Sales 95

Sales Software Modeling Enterprise 95

CIO Business Intelligence

JUNE 21, 2022

But the New York Times recently reported that Chinese researchers had broken the exascale computing barrier, performing a calculation that would have taken the Oak Ridge National Laboratory’s former machines 10,000 years to complete in a mere 304 seconds. . Big data analytics is being used to uncover crimes. HPC Comes of Age.

Deep Learning 111

Deep Learning Big Data ROI Software 111

Smart Data Collective

SEPTEMBER 25, 2023

One of the key developments in machine translation is the use of deep learning algorithms, which enable the system to learn from vast amounts of data and make more informed translation decisions. Similarly, neural networks are designed to recognize patterns and learn from data. Brace yourself, because the future is here.

Deep Learning 97

Deep Learning Statistics Technology Machine Learning 97

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Smart Data Collective

AUGUST 12, 2019

The search engine optimization profession relies heavily on big data. Google is constantly developing new artificial intelligence algorithms to improve search engine results. However, Google isn’t the only company using AI and machine learning in search. SEO professionals are turning to these tools as well. percent of the time.”.

Machine Learning 76

Machine Learning Marketing Strategy Publishing 76

bridgei2i

MARCH 29, 2019

With the AI boom, boundaries are being broken, and there’s no saying when a new technology will join the club and rule the roost. As an industry, the quest to improve upon the quality of life using AI is perennial.

Risk 61

Risk Enterprise Technology Marketing 61

Ontotext

MARCH 7, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. In our interconnected world, information travels across the globe at unprecedented speed and disinformation is getting spread even faster and reused across geographies.

Modeling 59

Modeling Metrics Business Intelligence Testing 59

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

Anmut

JULY 12, 2021

This is true for life in general, but it’s especially applicable to the data you use to power your business. Data without context is just meaningless noise, and any effort to improve or extract value from your data without considering the larger business context is doomed to fall short.? Context is everything.?Facts,

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

Jet Global

APRIL 20, 2021

Companies with vast, complex supply chains didn’t have the data to know exactly, or even very accurately, how inventory moved through their ecosystem. Thanks to a constellation of internet-connected and data-driven technologies, companies can now track their inventory with precision. But that’s not the case anymore.

Management 59

Management Forecasting Metrics KPI 59

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

APRIL 25, 2022

A collaborative network is one in which all parties — a company, its suppliers, shippers, and distributors — have visibility into the supply chain through real-time data. Companies have insight into first-, second-, and third-tier suppliers, and all parties can respond to the data and act together. Synchronize with the right tools.

Risk 52

Risk Forecasting Machine Learning Management 52

Smart Data Collective

JANUARY 7, 2022

This is a great opportunity for software publishers that have a knack for creating quality AI programs. In addition, it provides a growing suite of regression tests that can be run throughout development to make sure nothing was broken during implementation changes. Unfortunately, this can be difficult. Integration Test.

Testing 113

Testing Software Strategy Machine Learning 113

IBM Big Data Hub

JUNE 29, 2023

Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. This is why asset reliability is such a critical component of business strategy. Before we dive into it, let’s take a look at some relevant terms. What is an asset?

Cost-Benefit 89

Cost-Benefit Measurement Management Predictive Analytics 89

Ontotext

NOVEMBER 23, 2023

Bulk validation is great when data comes together nicely as one big package. The data only becomes problematic when it’s joined together with the rest of the dragon data. When an update about Smaug comes up, all potentially relevant data is pulled up from the database into the transaction context. All is well.

Data Quality 69

Data Quality Reporting Metadata IT 69

Sisense

APRIL 2, 2019

Once the silos are broken down, DevOps attempts to fill the gaps by forming a partnership that emphasizes communications, collaborations, and integrations. Speed became the main battle cry, even if it meant compromising on the quality of the final output. What is DevOps? Is it technology? Is it a process?

Software 80

Software Testing Enterprise IT 80