CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

Smart Data Collective

FEBRUARY 20, 2022

One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading. You will get a better sense of the reasons that you should make investing in big data a top priority.

Big Data 112

Big Data Management Finance Data-driven 112

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

TDAN

JULY 6, 2021

Using reliable insights to keep up with rapid market changes, businesses are also deploying data mining and predictive analytics across massive amounts of clickstream and transactional data. With the continuous evolution of technology and daily shifts in shopping trends, eCommerce is constantly adapting.

Management 98

Management Data mining Predictive Analytics Marketing 98

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 132

Analytics Data Science Unstructured Data Data mining 132

CIO Business Intelligence

APRIL 19, 2022

Simply collecting data isn’t enough – it needs to be collated, stored and analysed effectively and efficiently so that the trends and intelligence it holds can be trusted to formulate strategy. This is known as data traction. Mining for gold. In a data economy, there are winners and there are losers.

Digital Transformation 55

Digital Transformation Data mining Strategy Insurance 55

Smart Data Collective

FEBRUARY 15, 2022

This entails using big data reliably. Companies with well-thought out data strategies are likely to beat the odds. Let’s delve deeper and see how and why entrepreneurship on the internet is so challenging and what we can do through next-gen marketing by utilizing data analytics. In fact, a majority fail in their pursuit.

Marketing 103

Marketing Data Analytics Analytics Big Data 103

Octopai

APRIL 19, 2021

Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Top 10 sites, videos, or thought leaders that discuss metadata management in 2021.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

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.

Analytics 123

Analytics Data Science Statistics Unstructured Data 123

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

TDAN

MARCH 3, 2020

In 2018, it was discovered that Cambridge Analytica had harvested the data of at least 87 million Facebook users without their knowledge after obtaining it via a few thousand accounts that had used a quiz app. There is no getting away from how incredibly valuable our data is. In 2018, the Global Data Mining Tools […].

Data mining 52

Data mining IT Data Strategy Data Governance 52

Smart Data Collective

MARCH 18, 2020

Big data is changing the direction of small and medium sized businesses. They can use big data for many purposes. However, the value of their big data strategies will vary considerably. Using big data to get a better understanding of your customers is important. Pillars of a Solid Customer Data Strategy.

Data mining 100

Data mining Big Data Sales Data Strategy 100

Smart Data Collective

DECEMBER 22, 2021

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. The right data strategy can help your startup become profitable.

Big Data 136

Big Data Data mining Data-driven Predictive Analytics 136

BizAcuity

APRIL 1, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. (Source: PwC). Applications of AI.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides.

Unstructured Data 124

Unstructured Data Data-driven Visualization Data Quality 124

IBM Big Data Hub

MARCH 14, 2024

This is supported by automated lineage, governance and reproducibility of data, helping to ensure seamless operations and reliability.    IBM and AWS have partnered to accelerate customers’ cloud-based data modernization strategies.

Cost-Benefit 83

Cost-Benefit Metadata Optimization Management 83

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. Data science skills. Technology – i.e. data mining, predictive analytics, and statistics.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

Metadata 64

Metadata Data Governance Dashboards Software 64