Smart Data Collective

MAY 4, 2021

The market for big data is expected to be worth $274 billion by next year. This is hardly surprising, since so many businesses depend on data analytics to draw useful insights on every aspect of their business model. Analytics is one of the most powerful tools that modern businesses possess.

Advertising 134

Advertising Marketing Data Collection Data Analytics 134

Smart Data Collective

NOVEMBER 25, 2019

Just as companies are becoming more aware of the value of data, so are hackers — and as a result, the frequency and cost of data breaches are beginning to skyrocket. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Cloudera

FEBRUARY 24, 2021

Here’s my take on some of the trends specific to the impact that data, analytics and AI/ML will have as we look at the year ahead. . Trend #1: The Crossroads of Risk Management and Emerging Technology. Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future.

Risk Management 58

Risk Management Risk Recreation/Entertainment Machine Learning 58

Cloudera

FEBRUARY 18, 2021

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. It’s fast, scalable and increasingly safe for businesses and customers alike. COVID-19 has forced a traditionally risk-averse industry to embrace new ML/AI technology.

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Smart Data Collective

NOVEMBER 18, 2021

B2B business, in particular, brings a unique set of challenges that B2C companies don’t face. Longer buying cycles, more risk, and larger transactions. This is where big data comes into play. You can use data to better understand your customers and improve the efficiency of your operations.

Data Strategy 125

Data Strategy B2B Strategy Big Data 125

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. Read more about last years Data Impact Award winners. HYBRID & MULTI-CLOUD INNOVATION.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

Smart Data Collective

MARCH 19, 2023

Many different industries are growing due to the proliferation of big data. Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” You can use data analytics to improve the success of your store down the road.

Predictive Analytics 126

Predictive Analytics Analytics Manufacturing Advertising 126

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Sisense

JULY 29, 2020

If they don’t, they risk failure and can jeopardize their survival. As a result, 49% of companies surveyed said analytics were more or much more important than before COVID-19, and respondents reported an increase in analytics use and new opportunities across all departments.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Cloudera

NOVEMBER 24, 2020

This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.

Insurance 71

Insurance Marketing Risk Finance 71

IBM Big Data Hub

DECEMBER 16, 2022

AI to proactively identify potential risks or outage warning signs across IT environments. Help increase ROI on data, AI and automation investments by making data and AI ethics a part of your culture. If data users don’t agree or understand how to interpret their options, they might not follow the process.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. The implementation of Big Data has huge potential in the healthcare industry , and the past few years are only the beginning.

Big Data 83

Big Data Recreation/Entertainment Cost-Benefit Finance 83

CIO Business Intelligence

MARCH 16, 2022

IT executives see talent shortage as the most significant adoption barrier to 64% of emerging technologies, ahead of implementation cost (29%) or security risk (7%), according to a September 2021 Gartner survey. Identifying which emerging technologies will prove most useful is a challenge, though.

Forecasting 98

Forecasting Machine Learning Technology Enterprise 98

datapine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

Cloudera

OCTOBER 21, 2020

New processes, research, and data analytics are under pressure to help identify what should be paid, and what should not. After all, at its core, insurance is a data business. The entire business boils down to the accurate assessment of risk through data. Health data. Financial data.

Insurance 71

Insurance Digital Transformation Unstructured Data Cost-Benefit 71

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 billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

OCTOBER 29, 2020

Keck’s comprehensive data intelligence solution identifies patients susceptible to diseases for which early detection and proactive treatment lead to better clinical outcomes, and save more lives. Focusing on these at-risk patients also helps outreach efforts for preventive screenings with better efficacy.

Big Data 48

Big Data Risk Enterprise Data Analytics 48

Cloudera

JANUARY 14, 2021

They are armed with more knowledge than ever before, as a result, four strategic pillars have emerged that have resulted as leading retailers and brands have deployed a data-centric strategy enabling a customer-first approach.

Cost-Benefit 68

Cost-Benefit Digital Transformation Sales IoT 68

datapine

MARCH 25, 2022

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. Your Chance: Want to extract the maximum potential out of your data? What’s the difference between Business Analytics and Business Intelligence? Each and every professional had a different take.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

APRIL 15, 2020

Through agile adoption, organizations are seeing a quicker return on their BI investments and are able to quickly adapt to changing business needs. To fully utilize agile business analytics, we will go through a basic agile framework in regards to BI implementation and management. Accept change.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

IBM Big Data Hub

SEPTEMBER 21, 2022

If there was ever an example of key-person risk, this was it. We stumbled our way through the next budget process as best we could, until we came across IBM Planning Analytics with Watson. There’s little doubt in my mind that our investment in IBM Planning Analytics paid for itself several times over.

Analytics 57

Analytics Forecasting Risk Data-driven 57

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Now that we have described predictive and prescriptive analytics in detail, what is there left?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Master data management. Data governance.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

Smart Data Collective

JULY 26, 2023

Big data has driven major changes in the e-commerce sector in recent years. E-commerce brands spent over $16 billion on analytics in 2022 and are projected to spend over $38 billion by 2028. One of the biggest benefits of data analytics is that it can help e-commerce brands optimize their logistics and fulfillment processes.

Big Data 83

Big Data Data-driven Management Optimization 83

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. For decades now, data analytics has been considered a segregated task.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Sisense

AUGUST 25, 2019

By the time you get the insights you’re looking for, they’re no longer fresh, and you risk someone else beating you to the punch. Here’s how to avoid this, and take your data-driven business to the next level: 1. Don’t limit data analytics to your data teams. Build business analytics; not just reports.

Data-driven 75

Data-driven Slice and Dice Sales Reporting 75

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Depict Data Studio

SEPTEMBER 17, 2019

David Napoli has worked with data for over 20 years as an analyst, actuary, statistician, research manager, and director. Deven Wisner is a capacity builder for data-driven decision making across a variety of disciplines, including regulatory consulting, human capital, finance, and marketing.

Visualization 40

Visualization Consulting Dashboards Reporting 40

Andrew White

MARCH 22, 2019

The result was that both end users (non IT companies) in public and private organizations, and vendors, changed direction: clients looked for quick fixes to help avoid risk; vendors refocused away from their current trajectory of developing solid information stewardship solutions toward the ‘easy money’ of GDPR.

Analytics 68

Analytics Metadata Data Governance Management 68

Jet Global

MARCH 22, 2023

While state-by-state provisions allow for greater visibility into your liability and risk areas, this approach comes with its own challenges. Data requirements are expanding for state-by-state calculations including new apportionment considerations, tax rates, and regional modifications.

Reporting 52

Reporting Software Risk Enterprise 52

Jet Global

JULY 1, 2022

They are the driver of every global company, manufacturer, and supplier, but they are increasingly susceptible to adverse risks. Businesses must now account for the disruptions and backlogs that are commonplace in today’s market. Control risks and process compliance issues such as Segregation of Duty. Clean data is here.

Operational Reporting 98

Operational Reporting Reporting Finance Software 98