O'Reilly on Data

FEBRUARY 11, 2019

We’ve assembled sessions from leading companies, many of which will share case studies of applications of machine learning methods, including multiple presentations involving deep learning: Strata Business Summit. Temporal data and time-series analytics. Data Platforms. Data Integration and Data Pipelines.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

CIO Business Intelligence

NOVEMBER 9, 2022

But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. “It Have a data governance plan as well to validate and keep the metrics clean. Some prefer charts.

Analytics 137

Analytics Slice and Dice Metrics Sales 137

Jen Stirrup

AUGUST 14, 2019

There can be seen very clearly in the sphere of business intelligence, where the business and IT need to work together to produce an essential component of the function of the organization: reporting, data and information flow. Blueprint for paying back data debt. How can the teams move forward from the impasse?

Business Intelligence 40

Business Intelligence Finance IT Cost-Benefit 40

CIO Business Intelligence

MARCH 6, 2024

I’ve never had to present a case to the board and say, “This is what we need to do, and here’s why we need to do it. This was a gift because it forced us into data governance and we sell data governance products, so this wasn’t a new concept to us. You avoid conversations around, “Where’d you get that number from?

Modeling 115

Modeling Management IT Metrics 115

O'Reilly on Data

MAY 21, 2019

We found that companies that have successfully adopted machine learning do so either by building on existing data products and services, or by modernizing existing models and algorithms. Use ML to unlock new data types—e.g., You also need solutions that let you understand what data you have and who can access it.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Augmented analytics can reduce frustration and re-work, and make your business users happy.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

FineReport

APRIL 3, 2024

Unveiling BI Dashboard Tools In today’s data-driven environment, Business Intelligence (BI) visualization tools are indispensable for driving data-informed decisions. Conversely, reports provide in-depth analysis suited for detailed examinations and data exploration. Top BI Dashboard Tools 5.1

Dashboards 52

Dashboards Visualization Metrics Interactive 52

CIO Business Intelligence

MAY 10, 2023

Without this important step, AI may produce inconsistent or inaccurate data that could put an organization in a risky gambit of leveraging insights that are not vetted. The concept of AI model training relies on clean data which can be enforced through governance of the underlying data set.

Metadata 98

Metadata Data Governance Modeling Technology 98

Jen Stirrup

MARCH 29, 2023

SAP Datasphere helps eliminate hidden data debt within organizations, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact. Business Intelligence is often a search problem in disguise.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

FineReport

MAY 31, 2023

Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively. The liquidity ratio analysis, presented through a line chart, signifies whether a company’s current assets will adequately meet its impending obligations.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

MAY 17, 2022

A direct result of Tableau’s acquisition of Narrative Science late last year, Data Stories uses natural language commands to generate explanations of Tableau dashboards, increasing the number of people who can work with the data. Advanced governance.

IT 98

IT Predictive Modeling Machine Learning Dashboards 98

CIO Business Intelligence

MARCH 27, 2023

Chief data and analytics officers (CDAOs) are poised to be of increasing strategic importance to their organizations, but many are struggling to make headway, according to data presented last week by Gartner at the Gartner Data & Analytics Summit 2023. Organizations are still investing in data and analytics functions.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

datapine

SEPTEMBER 29, 2022

Therefore, there are several roles that need to be filled, including: DQM Program Manager: The program manager role should be filled by a high-level leader who accepts the responsibility of general oversight for business intelligence initiatives. The program manager should lead the vision for quality data and ROI.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

AUGUST 22, 2023

Few technical leads want to create and present a ten-page deck to an architecture review board, and teams automating their releases with CI/CD and other devops automations are slowed down if they must review releases with a change approval board. Solutions architects create standardized stacks, microservices, and reusable patterns.

Digital Transformation 98

Digital Transformation Data-driven Cost-Benefit Strategy 98

CIO Business Intelligence

NOVEMBER 17, 2022

quintillion bytes of data (that’s 2.5 IT professionals tasked with managing, storing, and governing the vast amount of incoming information need help. Content management solutions can simplify data governance and provide the tools needed to simplify data migration and facilitate a cloud-first approach to content management.

Software 144

Software Management Digital Transformation Data Governance 144

TDAN

MAY 14, 2019

To own data or not to own data, that is the question. This question comes up often when I am speaking with clients or groups of people during my Data Governance webinars and conference presentations.

Data Governance 51

Data Governance Data Quality Metadata Data Strategy 51

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures.

Business Analytics 111

Business Analytics Analytics Data Quality Big Data 111

Octopai

JANUARY 31, 2021

Specifically, when it comes to data lineage, experts in the field write about case studies and different approaches to this utilizing this tool. Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . TDWI – Philip Russom. Malcolm Chisholm.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

FEBRUARY 7, 2024

So API ubiquity presents numerous IT management challenges due to inconsistent design patterns, communication silos, access control, documentation hurdles, and monitoring, performance and scalability concerns, says Ratinder Paul Singh Ahuja, who oversees API governance and security as CTO and VP at Pure Storage.

Business Objectives 124

Business Objectives Cost-Benefit Strategy Data-driven 124

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. The best part? His major takeaway?

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

Octopai

SEPTEMBER 10, 2019

Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts. Some organizations know exactly what they need, while others can be overwhelmed or confused by all the different solutions out there that claim to support data governance.

Metadata 40

Metadata Data Governance Cost-Benefit Reporting 40

CIO Business Intelligence

JANUARY 5, 2024

So an important investment we’re making is how we present ourselves to the customer, creating immersive experiences, improving our website and our app, for example. We want to personalize the client’s needs as much as possible.

IT 115

IT Finance Cost-Benefit Strategy 115

CIO Business Intelligence

DECEMBER 11, 2023

What’s the plan if customers are presented with false data, or if critical decisions are based on inaccurate AI responses? Companies need both a practical plan and a transparent communications strategy in their response.” “It’s the most difficult conversation,” but CIOs must present that a tool “could be more than you bargained for.

Modeling 131

Modeling Risk Strategy Software 131

FineReport

NOVEMBER 25, 2020

Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. The free version of Databox is limited to three data sources, three dashboards, and three users, and only provides one daily refresh. Query2Report.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

CIO Business Intelligence

JUNE 14, 2023

CompTIA Data+ The CompTIA Data+ certification is an early-career data analytics certification that validates the skills required to facilitate data-driven business decision-making. They can visualize and present data findings in dashboards, presentations, and commonly used visualization platforms.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smarten

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. What is SSDP?

Analytics 51

Analytics IT Business Intelligence Testing 51

CIO Business Intelligence

MARCH 8, 2023

“Here, there is a synergistic need between what is happening at the edge and the processing power required in real time to facilitate your business objectives.” Application entanglement presents another barrier keeping organizations from migrating some applications and data to cloud.

Manufacturing 95

Manufacturing Business Objectives Cost-Benefit Optimization 95

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS. Some examples of Acast’s domains are presented in the following figure.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do?

Metadata 52

Metadata Management Data Processing Machine Learning 52

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. According to the Chinese Zodiac, 2020 is the year of the rat.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

CIO Business Intelligence

AUGUST 5, 2022

“Here, there is a synergistic need between what is happening at the edge and the processing power required in real time to facilitate your business objectives.”. Application entanglement presents another barrier keeping organizations from migrating some applications and data to cloud.

IT 98

IT Manufacturing Business Objectives Cost-Benefit 98

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. You get the flexibility to choose the table and file format best suited for your use case and get the benefit of centralized data governance to secure data access when using Athena.

Data Lake 77

Data Lake Data Governance Cost-Benefit Machine Learning 77

AWS Big Data

JULY 28, 2023

Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools. For example, connect to the dev database using the admin user and password.

Data Lake 65

Data Lake Data Governance Data Warehouse Modeling 65

Birst BI

JANUARY 23, 2018

Data governance is a broad topic that people seem to agree is important, but still argue about the details. In most organizations, that data comes from multiple systems that are extremely difficult, if not impossible, to maintain consistency between. But what exactly is a “single version of the truth?”

Data Warehouse 50

Data Warehouse Data Governance Data Lake Enterprise 50