Smart Data Collective

JANUARY 11, 2023

Many businesses are taking advantage of big data to improve their marketing and financial management practices. billion on big data marketing in 2020 and this figure is likely to grow further in the years to come. Some of the case studies on the benefits of data-driven marketing are quite promising.

Data-driven 101

Data-driven Marketing Advertising Big Data 101

Smart Data Collective

APRIL 20, 2020

Big data has played a very important role in conversion rate optimization. Smart marketers recognize that they need the latest big data tools to entice customers to make purchases. Audrey Throne, an author with Big Data Analytics News, has shared some details about the benefits of big data in conversion rate optimization.

Data-driven 89

Data-driven Optimization Strategy Big Data 89

Dataiku

MARCH 26, 2024

In today's data-driven landscape, businesses are increasingly relying on AI and machine learning (ML) to gain insights, make predictions, and automate processes. to understand the nuances behind model optimization, particularly the concept of fine-tuning.

Modeling 75

Modeling Machine Learning Data-driven Optimization 75

IBM Big Data Hub

MARCH 21, 2024

In this blog, we’ll explore seven key strategies to optimize infrastructure for AI workloads, empowering organizations to harness the full potential of AI technologies. High-performance computing systems Investing in high-performance computing systems tailored for AI accelerates model training and inference tasks.

Optimization 68

Optimization Software Data-driven Consulting 68

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Data-driven 79

Data-driven Analytics Insurance Digital Transformation 79

IBM Big Data Hub

OCTOBER 17, 2023

They use high temperature heat in many of their processes that is primarily driven by fossil fuel. For example, say we predict the quality of the clinker in advance, then we are able to optimize the heat energy and combustion in the cement kiln in such a way that quality clinker is produced at minimum energy.

Modeling 105

Modeling Optimization Manufacturing Forecasting 105

Smart Data Collective

DECEMBER 13, 2021

Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models. Some industries have become more dependent on big data than others. New advances in data technology have been especially beneficial for marketing.

Data-driven 136

Data-driven Marketing Strategy Big Data 136

Smart Data Collective

JANUARY 27, 2022

Big data technology has become a very important aspect of our lives. More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. 1 Equip Your Employees with the Right Data Analytics Tools.

Optimization 107

Optimization IT Big Data Cost-Benefit 107

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

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

David Menninger's Analyst Perspectives

OCTOBER 14, 2022

As I recently pointed out, process mining has emerged as a pivotal technology for data-driven organizations to discover, monitor and improve processes through use of real-time event data, transactional data and log files. Organizations use it to better understand the current state of systems and business processes.

Data-driven 263

Data-driven Visualization Optimization Modeling 263

Smart Data Collective

APRIL 24, 2023

Big data has led to some huge changes in the way we live. John Deighton is a leading expert on big data technology. His research focuses on the importance of data in the online world. Innovations in the early 20th century changed how data could be used. Deighton studies how this evolution came to be.

Data-driven 98

Data-driven Software Big Data Data Governance 98

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. Targeting the Right Variables for Your Data-Driven Retail Business Model.

Data-driven 110

Data-driven Metrics Sales Big Data 110

CIO Business Intelligence

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with.

IT 143

IT Metadata Data-driven Management 143

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. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

CIO Business Intelligence

NOVEMBER 18, 2022

To optimize cloud investments, C-level executives are increasingly adopting cloud financial operations (FinOps). In this article, I’ll explore common cloud optimization and FinOps challenges and strategies for overcoming them. Then they must choose a financial model, whether an even split, fixed, or proportional model.

Optimization 91

Optimization KPI Key Performance Indicator Cost-Benefit 91

CIO Business Intelligence

FEBRUARY 8, 2024

The industry data from Layoffs.fyi, a platform monitoring workforce reductions in the tech industry, reveals that 24,584 employees across 93 companies have been laid off in 2024. The global IT services industry is at a significant crossroads, with the explosive growth of generative AI and deepening economic uncertainties reshaping its future.

IT 98

IT Uncertainty Consulting Forecasting 98

Cloudera

DECEMBER 21, 2023

How long would it take you to find the data you need to even begin to come up with a data-driven response? Some are returning errors that are difficult to find—and if you’re missing KPIs you have to fix, optimize, and measure every bit of code, which can take a considerable amount of time and trial and error.

Optimization 68

Optimization Sales Data Warehouse Measurement 68

IBM Big Data Hub

JULY 25, 2023

Smart grids turn this model on its head. Communication networks: The backbone of any smart grid, communication networks facilitate the transmission of data between various components, including sensors, automated devices and control centers. Software and analytics: Smart grids generate massive amounts of data.

Optimization 60

Optimization Technology Measurement Cost-Benefit 60

Smart Data Collective

FEBRUARY 24, 2021

Data-driven businesses are finding a number of great strategies that have proven to be remarkably effective. There are a number of tools that use big data to help them improve their business models. Many big data tools are a lot more complicated to learn. As we said before, big data is important for SEO.

Data-driven 100

Data-driven Big Data Optimization Strategy 100

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Big data helps better understand your customers, adjust your strategy according to the obtained results, and even decide on the further development of your product line.

Data-driven 92

Data-driven Sales Big Data Marketing 92

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management.

Data-driven 108

Data-driven Manufacturing Insurance Risk Management 108

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Global companies spent over $92.5 Here’s why.

Data-driven 106

Data-driven Cost-Benefit Data mining Big Data 106

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Optimization 83

Optimization Data Analytics Analytics Cost-Benefit 83

Smart Data Collective

MAY 2, 2019

Large companies around the world are investing in big data. Big data has been especially important for optimizing their marketing campaigns. Local marketing agencies have discovered that SEO is more dependent on big data than ever. They are developing more data driven solutions to offer better search marketing strategies.

Big Data 111

Big Data Optimization Modeling Deep Learning 111

CIO Business Intelligence

OCTOBER 23, 2023

CIOs and their IT teams have enjoyed a bump in power and prestige in recent years, as the C-suite has embraced continuous transformation, digital everything, and a host of emerging technologies — all enabled by IT. Yet many IT departments are struggling to reshape themselves to better meet the mandates of today. IT needs to go beyond that.

IT 137

IT Consulting Scorecard Key Performance Indicator 137

IBM Big Data Hub

MAY 1, 2024

In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

Forecasting 85

Forecasting Optimization Digital Transformation Risk 85

CIO Business Intelligence

JUNE 24, 2022

Approximately 61% of APAC organizations have failed to build robust and successful digital business business models, primarily due to unsound practices of enterprise architecture (EA) teams, according to a report from Forrester. Only 22% of APAC decision makers cited security as an issue compared to 31% in North America and 26% in Europe.

Modeling 105

Modeling Digital Transformation Data Architecture Data-driven 105

CIO Business Intelligence

SEPTEMBER 5, 2023

To address this misalignment, enterprises need a model that provides IT the agility, scalability, and flexibility of the cloud while allowing the business to make value-based decisions overspend. For example, ‘putting data in the path of the engineer’ encourages them to take action and look for ways to optimize cloud costs.

IT 98

IT Digital Transformation Data-driven Business Analysis 98

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. Across the industry, the pandemic caused a huge breakdown in model performance due to the change in macroeconomic conditions and government stimulus packages. Observe what the model has to offer even if not the intended output.

Risk 99

Risk Optimization Management Insurance 99

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

Smart Data Collective

DECEMBER 17, 2021

Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Types of Data Used in Marketing Analytics. Types of Data Used in Marketing Analytics.

Marketing Analytics 96

Marketing Analytics Marketing Data-driven Analytics 96

Cloudera

APRIL 18, 2024

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. All of that technology, though, depends on data to be successful. Do I trust my data to be ready for use in AI?

Analytics 108

Analytics Metadata Data Strategy Optimization 108

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.

IT 128

IT Business Analysis Key Performance Indicator Cost-Benefit 128

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144