datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 103

Data Strategy Strategy Machine Learning Data-driven 103

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Financial service providers face growing expectations to make interactions more relevant and timelier. Embrace incremental progress.

Strategy 105

Strategy Data Strategy ROI Cost-Benefit 105

CIO Business Intelligence

AUGUST 1, 2023

But we don’t necessarily see this with AI-driven models, in which the return on scale can continue to climb to previously unheard-of levels. Strategy guru Roger Martin wisely advises that “Strategy is centrally about compelling the thing you don’t control — your customers — to take actions you wish they would take.”

Strategy 52

Strategy Data-driven Interactive Uncertainty 52

CIO Business Intelligence

OCTOBER 4, 2022

Customers gravitate to personalized interactions and show a preference for companies that anticipate and cater to their unmet needs. Line of business owns the customer experience, but IT is a critical partner to the business,” says Miriam McLemore, Director of Enterprise Strategy and Evangelism with AWS.

Data-driven 92

Data-driven Machine Learning Interactive Predictive Analytics 92

CIO Business Intelligence

SEPTEMBER 27, 2023

Identifying worthwhile use cases Hackajob, a company that provides a platform for organizations to find and recruit IT and developer talent, began piloting generative AI models in the second half of 2022 as part of an informal research and development initiative to explore emerging technology trends.

Strategy 118

Strategy Risk Data-driven Modeling 118

Smart Data Collective

FEBRUARY 4, 2021

Big data has been instrumental in keeping the pandemic in check. Organizations and governments around the world are using big data technology to track the spread of Covid-19 and find better solutions to keep it in check. However, big data will continue to affect our lives long after the pandemic has subsided.

Data-driven 67

Data-driven Marketing Strategy Big Data 67

Smart Data Collective

AUGUST 19, 2023

Big data technology has significantly improved the ROI of modern marketing strategies. There are many ways that brands can use AI and data analytics to expand their reach, which includes using Roblox games. Back in February, we talked about some of the ways that data analytics has shaped the gaming industry.

Data-driven 56

Data-driven Interactive Recreation/Entertainment Big Data 56

Smart Data Collective

DECEMBER 22, 2021

There is no question that big data is changing the nature of business in spectacular ways. A growing number of companies are discovering new data analytics applications, which can help them streamline many aspects of their operations. However, there are a lot of third-party big data applications worth investing in.

Data-driven 89

Data-driven Big Data Cost-Benefit Software 89

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Smart Data Collective

NOVEMBER 18, 2021

Big data is no longer a luxury for businesses. In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation. This is where big data comes into play.

Data Strategy 127

Data Strategy B2B Strategy Big Data 127

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. As a result, CDP-enabled data products can meet multiple and varying functional and non-functional requirements that correspond to product attributes, each fulfilling specific customer needs.

Strategy 96

Strategy Cost-Benefit Visualization Data Warehouse 96

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 93

IoT Analytics Dashboards Data-driven 93

IBM Big Data Hub

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. DL models can improve over time through further training and exposure to more data.

Enterprise 97

Enterprise Interactive Data-driven Key Performance Indicator 97

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

Smart Data Collective

JANUARY 6, 2021

Big data is central to financial management. The market for financial data analytics is expected to reach $10 billion by 2025. One of the biggest uses of big data in finance relates to accounts receivable management. Fortunately, new advances in data technology have made accounts receivable management easier than ever.

Data-driven 94

Data-driven Management Big Data Predictive Analytics 94

CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. How has, say, ChatGPT hit your business model?” This is an issue for CIOs.

Strategy 91

Strategy Risk Enterprise Risk Management 91

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

IBM Big Data Hub

JANUARY 9, 2024

These applications are designed to meet specific business needs by integrating proprietary data and help to ensure more accurate and relevant responses. This trend signals a move toward more efficient and personalized AI-driven business solutions. This approach results in highly personalized customer interactions.

Data-driven 102

Data-driven Risk Modeling Marketing 102

erwin

FEBRUARY 20, 2020

Enterprise architecture (EA) and business process (BP) modeling tools are evolving at a rapid pace. Recently, Glassdoor named enterprise architecture the top tech job in the UK , indicating its increasing importance to the enterprise in the tech and data-driven world.

Enterprise 128

Enterprise Modeling Dashboards Digital Transformation 128

Cloudera

NOVEMBER 18, 2020

Given the increase of financial fraud this year and the upcoming holiday shopping season, which historically also leads to an increase, I am taking this opportunity to highlight 3 specific data and analytics strategies that can help in the fight against fraud across the Financial Services industry. . 1- Break down the Silos.

Data Strategy 104

Data Strategy Strategy Machine Learning Risk 104

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. They also need to understand the vitality of quality data for AI success, as well as governance frameworks to ensure responsible and ethical use of AI.

Risk Management 130

Risk Management Risk Cost-Benefit Technology 130

Sisense

JUNE 22, 2021

Your customers interact with multiple campaigns: They start with a TV ad, see a Facebook ad, see a Google Ad two days later, discover an SEO-driven blog article, and finally click on an email discount offer to make a purchase. Get a unified view of all your marketing data sources. Multi-touch attribution models explained.

Data-driven 52

Data-driven Sales Marketing Key Performance Indicator 52

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 66

B2B Interactive Optimization Forecasting 66

CIO Business Intelligence

JANUARY 22, 2024

AI-driven technology is not just a side project anymore. According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction.

Cost-Benefit 97

Cost-Benefit Digital Transformation Data-driven Interactive 97

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. According to IDC estimates , there will be 55.7

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

bridgei2i

JUNE 23, 2021

4 Key Elements of Enterprise AI Strategy. Enterprise AI harnesses advanced artificial intelligence techniques to deliver organizational data, knowledge, and information. It combines the human capacities for learning, perception, and interaction to perform business operations. Strong Data-Driven Culture. Compliance.

Strategy 52

Strategy Enterprise Key Performance Indicator ROI 52

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task.

Enterprise 120

Enterprise Modeling Testing Data-driven 120

Smart Data Collective

MARCH 14, 2022

Data analytics technology is becoming a more important aspect of business models in all industries. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. In order to achieve this, many have utilized new technology and business strategies to provide solutions for customers. SaaS companies are no exception.

Modeling 98

Modeling Analytics Sales Key Performance Indicator 98

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

JANUARY 12, 2024

The advantages of AI are numerous and impactful, from predictive analytics that refine strategies, to natural language processing that fuels customer interactions and assists users in their daily tasks, to assistive tools that enhance accessibility, communication and independence for people with disabilities.

Data-driven 96

Data-driven Interactive Data Processing Technology 96

CIO Business Intelligence

FEBRUARY 20, 2024

Microsoft Copilot brings the power of large language models (LLMs) directly into the applications agencies already use, enabling powerful productivity tools to be harnessed through simple words and phrases. Transforming data to informed decisions Copilot can also help teams develop a more data-driven approach to strategy and decision-making.

Cost-Benefit 86

Cost-Benefit Interactive Reporting Data-driven 86

erwin

SEPTEMBER 12, 2019

Strong internal business process modeling and management helps data-driven organizations compete and lead. The Value of Internal Business Process Modeling. The complexity of modern data-driven organizations requires processes to work in tandem to create and sustain value.

Modeling 101

Modeling Cost-Benefit Data-driven Data Governance 101

Andrew White

NOVEMBER 1, 2019

The main angle was from the point of view of a university, but the point was related to business too: They (strategies) take too long to draft or define. Most of these strategies were effectively based on faith, hope, and charity. We have tried mightily to help organizations recognize what strategy is meant to be.

Strategy 56

Strategy Analytics Data-driven Data Strategy 56

Andrew White

JULY 28, 2020

Even before the COVID-19 Reset our advice concerning development of data and analytics strategy was focused on an outcome-based approach. Three years ago, we suggested that D&A strategy had been seen through three lenses: As a service (Business user: “Please get me this report by Thursday.”). Things have improved a lot.

Strategy 52

Strategy Consulting Data-driven Interactive 52

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. The process of creating models is called modeling.

Modeling 64

Modeling IT Risk Management Deep Learning 64