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. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 129

Analytics Data Science Unstructured Data Data mining 129

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Reduce data duplication and fragmentation.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

TDAN

FEBRUARY 28, 2023

The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Project managers are likely to experience a major upheaval during the 2020s. Although 80% is arguably a bit extreme, I expect […]

Management 59

Management Technology Data Strategy Data Governance 59

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.

Data Architecture 124

Data Architecture Data Warehouse Statistics Visualization 124

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

TDAN

JULY 2, 2019

No doubt, every organization requires valuable data to understand the needs and preferences of their customers and target audience. If you are operating a business, then you may also know the importance of big data. The data needs to be properly presented and analyzed.

Big Data 58

Big Data Data Strategy Business Intelligence Strategy 58

TDAN

MARCH 17, 2020

Top Data Management Problems The modern world functions on information. A primary aspect of data management is digitizing large amounts of documents, books, and reports that have been collected for hundreds of years. The Great Volume of Data The more that data is digitized and […].

Machine Learning 119

Machine Learning Management Reporting Data Strategy 119

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. From Google.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

CIO Business Intelligence

MARCH 21, 2022

A data scientist’s approach to data analysis depends on their industry and the specific needs of the business or department they are working for. Before a data scientist can find meaning in structured or unstructured data, business leaders and department managers must communicate what they’re looking for.

Unstructured Data 130

Unstructured Data Data Analytics Analytics Structured Data 130

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. Data Modeling Best Practices.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Chat with a data management expert The post Why optimize your warehouse with a data lakehouse strategy appeared first on IBM Blog.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer salary.

Analytics 119

Analytics Data Science Statistics Unstructured Data 119

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

CIO Business Intelligence

JUNE 23, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Big data is cool again.

IT 73

IT Data Architecture Unstructured Data Big Data 73

CIO Business Intelligence

DECEMBER 16, 2022

An average premium of 12% was on offer for PMI Program Management Professional (PgMP), up 20%, and for GIAC Certified Forensics Analyst (GCFA), InfoSys Security Engineering Professional (ISSEP/CISSP), and Okta Certified Developer, all up 9.1% Despite this, average pay premiums for management, methodology and process skills rose 2.3%

Testing 83

Testing Metadata Data Processing Machine Learning 83

CIO Business Intelligence

SEPTEMBER 22, 2022

“Having the right tool is just as important as having the ideas, because it allows the people with the ideas to get on and focus on the things that are important,” says Sellers in Google Cloud’s podcast series “The Principles of a Cloud Data Strategy.”. Dealing with complexity. And they can get to market really, really fast.”.

Digital Transformation 52

Digital Transformation Data Strategy Big Data Strategy 52

CIO Business Intelligence

MARCH 11, 2022

Silos have been built up over the years, some the result of organizational structure, others related to data and systems that are managed and maintained as separate entities. Companies now recognize data as a true asset, but we’re trying to force the silos to work together without having the foundation to do so in place.

Digital Transformation 72

Digital Transformation Data Strategy Enterprise Risk 72

TDAN

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% […].

Machine Learning 98

Machine Learning Data Quality Data Strategy Strategy 98

Smart Data Collective

SEPTEMBER 26, 2019

Even the data businesses use has the option to become smart when business intelligence practices come into play. Around 80% of companies indicate worries about their ability to keep up with the massive amounts of data generated by the IoT and make sense of everything. Develop a Big Data Strategy.

Internet of Things 70

Internet of Things IoT Cost-Benefit Insurance 70

AWS Big Data

JUNE 23, 2023

In this post, we explain how Imperva’s solution enables users across the organization to explore, visualize, and analyze data using Amazon Redshift Serverless , Amazon Athena , and QuickSight. Challenges and needs A modern data strategy gives you a comprehensive plan to manage, access, analyze, and act on data.

Data Lake 69

Data Lake Cost-Benefit Dashboards Data Warehouse 69

datapine

JANUARY 24, 2021

For example, you need to develop a sales strategy and increase revenue. By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. Today, big data is about business disruption.

IT 317

IT Statistics KPI Data-driven 317

Smart Data Collective

NOVEMBER 30, 2020

With so many baskets to juggle in modern business, it is little wonder that more and more businesses are turning to various forms of automation to help ease their workload. They have found big data automation to provide an even higher ROI than traditional analog automation technology that became widely adapted in the mid-1900s.

Big Data 83

Big Data Data Lake ROI Marketing 83

Octopai

JANUARY 31, 2021

We have identified the top ten sites, videos, or podcasts online that deal with data lineage. Our list of Top 10 Data Lineage Podcasts, Blogs, and Websites To Follow in 2021. Data Engineering Podcast. This podcast centers around data management and investigates a different aspect of this field each week.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

APRIL 26, 2023

The DevOps practices which revolutionized software engineering in the last decade have yet to come to the world of Business Intelligence solutions. Business intelligence tools by their nature use a paradigm of UI driven development with code-first practices being secondary or nonexistent.

Metadata 52

Metadata Dashboards Visualization Consulting 52

TDAN

JUNE 18, 2019

Instead, stakeholders, and especially those working in data management, should take the time to […]. But it’s not enough for you to buy the latest 5G phone that will “allow you to download a movie in just seconds.”

Management 40

Management Strategy IoT Data Strategy 40

TDAN

DECEMBER 15, 2020

As we transitioned from an industrial revolution to a technological one, however, there was a new asset introduced that has been harder to qualify: data. According to The Big Data and AI Executive Survey […]. The tangible things we understand as having value.

Big Data 64

Big Data Modeling Technology Data Strategy 64

AWS Big Data

MARCH 27, 2023

As real-time data has become essential for businesses, a growing number of companies are adapting their data strategy to focus on data in motion. Event streaming is the central nervous system of a data in motion strategy and, in many organizations, Apache Kafka is the tool that powers it.

Visualization 76

Visualization Data Lake Interactive Data-driven 76

Smart Data Collective

JANUARY 9, 2023

As we move deeper into the future, more and more organizations are utilizing AI and machine learning technology to improve their business processes in a number of profound ways. This widescale adoption can be seen in the recent rise in business intelligence and business analyst job positions.

Machine Learning 126

Machine Learning Software Strategy Marketing 126

Srividya Sridharan

OCTOBER 22, 2019

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired!

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

CIO Business Intelligence

MARCH 15, 2022

Companies are capitalizing on only about half (49%) of their data sets to derive direct business value, and 34% feel they are falling short of strategic data-related goals. What’s more, the uphill battle typically hinges on changing culture to embrace a data-first mentality. The HPE GreenLake advantage.

IT 83

IT Data-driven Digital Transformation Business Objectives 83

TDAN

JUNE 15, 2021

We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes. But data management teams in organisations often still struggle with how to communicate […].

Data Transformation 98

Data Transformation Management Risk Management Risk 98