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

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., RFID), inventory monitoring (SKU / UPC tracking).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

IBM Big Data Hub

SEPTEMBER 19, 2023

Those who work in the field of data science are known as data scientists. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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). AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

TDAN

JUNE 15, 2022

Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […]. “Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point.

Data mining 98

Data mining Forecasting Big Data Marketing 98

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

bridgei2i

MAY 27, 2021

PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion.

Statistics 98

Statistics Digital Transformation Data Processing Forecasting 98

Smart Data Collective

MARCH 2, 2023

Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services. More advanced predictive analytics tools consider economic conditions when forecasting customer purchasing patterns.

Big Data 82

Big Data Uncertainty Risk Data mining 82

CIO Business Intelligence

NOVEMBER 2, 2023

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. If you go out and ask a chief data officer, a head of IT, ‘Is your data strategy aligned?’,

Data Strategy 127

Data Strategy Strategy Sales Data Governance 127

TDAN

JULY 18, 2023

Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today: The forecasted market value of big data will reach $650 billion by 2029.

Big Data 52

Big Data Data Analytics Analytics Forecasting 52

IBM Big Data Hub

JANUARY 22, 2024

Embrace change and innovation The data center of the future is ripe for further growth and transformation.

Data-driven 110

Data-driven Forecasting Consulting Marketing 110

TDAN

APRIL 19, 2022

Data Science program maturity and processes enablement is one of the reasons why we see solutions like asset allocation, campaign management, agent effectiveness, customer churn, price forecasting and predictive equipment maintenance as some recent go to market “data products or data services”.

Management 59

Management Enterprise Forecasting Data-driven 59

Sisense

MARCH 24, 2020

Predict: Lastly, look to forecast trends in supply and demand and track fast-moving changes in leading indicators. To foster the art of the possible, below are examples of how regular businesses use analytics to maximize customer revenue, reduce costs, forecast outcomes, and drive efficiency. Create transparency, reduce overhead.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

bridgei2i

JUNE 23, 2021

PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion.

Strategy 52

Strategy Enterprise Statistics Digital Transformation 52

CIO Business Intelligence

MARCH 9, 2022

They were, however, using multiple vendor technologies to support the data lake, which led to inefficiencies in the way they analysed their data. The window of the forecasting was 14 days, with 30-minute continuous intervals, right up to four hours before each flight. A change was needed. Martin Hammer.

Data Science 88

Data Science Data Lake Cost-Benefit Digital Transformation 88

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 88

Optimization B2B Data Quality Sales 88

bridgei2i

APRIL 28, 2020

One real challenge that we’re seeing is the focus on forecasting. Let’s talk about forecasting for a moment. Everybody’s very concerned about forecasting. Most companies will forecast their business based on trends. Are they going to look at, you know, maybe new business models using data?

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

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. of organizations report having established a data-driven organization.” ” “Just 26.5%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

FEBRUARY 16, 2023

“As the information layer gets mature, that’s where the ML and the AI will start seeing some green shoots,” he says, adding that although data transformation was a pressing need when he signed on in 2021, he wanted a more compelling vision to sell the board and business leaders on tackling it. The offensive side?

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

CIO Business Intelligence

SEPTEMBER 14, 2022

technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends. Sensors, AI, and robotics are key Manufacturing 4.0

Manufacturing 116

Manufacturing IT Software Digital Transformation 116

bridgei2i

JUNE 23, 2021

Integrating enterprise AI into the business platform enables companies to identify trends in data sets for process automation, sales and business forecasting, and automated insights. Enterprise AI automates the end-to-end journey from data to value. Compliance.

Strategy 52

Strategy Enterprise Key Performance Indicator ROI 52

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MAY 24, 2023

Hanna Hennig, CIO of Siemens, says she has seen business units start collecting data without knowing what to collect and why. “It If you don’t know what problem you want to solve, then you cannot define your data strategy.” It was always a waste of money,” she says. “If

Data Governance 99

Data Governance Data Quality Data Collection Management 99

Smart Data Collective

JANUARY 9, 2023

Machine learning is a particular type of AI-powered software that has the ability to learn from the data it comes into contact with and become more capable of accurately forecasting results and outcomes over time.

Machine Learning 125

Machine Learning Software Strategy Marketing 125

CIO Business Intelligence

MARCH 8, 2023

The reality is many organisations still struggle with the data and analytics foundations required to progress down an advanced AI path. Infosys research found 63 per cent of AI models function at basic capability only, are driven by humans, and often fall short on data verification, data practices and data strategies.

Enterprise 52

Enterprise Data Governance Data Strategy Testing 52

CIO Business Intelligence

JULY 18, 2022

“If you have your data in different tools, based on a private cloud or public cloud, you’re going to run into barriers,” notes Pat Reardon, director, HPE GreenLake ISV ecosystem. Managing those environments separately is inefficient and creates data silos that make it hard to advance a singular data strategy.

Cost-Benefit 73

Cost-Benefit Data Lake Data Warehouse Enterprise 73

Smart Data Collective

OCTOBER 20, 2020

However, the benefits of big data can only be realized if data sets are properly organized. Database Management Practices for a Sound Big Data Strategy. It is difficult for businesses to not consider the countless benefits of big data. Uber uses big data to develop machine learning algorithms to forecast demand.

Big Data 100

Big Data Data Strategy Strategy Cost-Benefit 100

Sisense

SEPTEMBER 9, 2019

If you lack a data science team, integrating BigSquid with your open-platform BI tool is a powerful way to achieve the horsepower of data science while maintaining the ease of use that the average business user requires. And we could easily visualize how a fix could impact our warranty claim forecast. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Sisense

APRIL 6, 2020

Constantinos Mavrommatis is the Chief Data Scientist at RetailZoom , a consultancy that helps supermarkets in Cyprus unlock their data to reveal patterns and forecast future performance. Those armed with a modern data strategy, clear KPIs, and well-modeled dashboards will navigate shifts in the market more smoothly than others.

Analytics 98

Analytics Dashboards KPI Data-driven 98

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

Sisense

MAY 20, 2021

Guy calls for companies to build a two- or three-year cohesive strategy that inculcates the use of data and analytics throughout the organization. He says, “Every company must have an embedded data strategy that takes into account the working practices and all of the data needs of every division.”.

Analytics 98

Analytics Data-driven Strategy Measurement 98

Jet Global

OCTOBER 4, 2023

Finance teams are under pressure to slash costs while playing a key role in data strategy, yet they are still bogged down by manual tasks, overreliance on IT, and low visibility on company data. This expansion of responsibilities is exacerbating the well-documented trend of finance team burnout, leading to undesirable turnover.

Finance 52

Finance Reporting Cost-Benefit Management 52

Anmut

NOVEMBER 10, 2020

Ørsted produced wind flow data at unprecedented resolution by introducing ground-breaking offshore radar systems. Using this data to model 3D wind improved power output and ensured future energy forecasts were as accurate as possible, helping manage supply variability. Digital turbines reduce maintenance costs.

Forecasting 52

Forecasting Data-driven Advertising ROI 52

Sisense

FEBRUARY 24, 2021

Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts. Data space dimension: Traditional data vs. big data.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Andrew White

APRIL 12, 2021

“We collect millions of data points from our operation…to help forecast where demand is going to come from…or to optimize a certain part of the supply chain to be as effective as possible.”. WSJ, April 2, 2021: Big Brands Retool Their Data Strategies. Partnerships can lead to Re-engineering Decisions.

Analytics 59

Analytics Data-driven Publishing Digital Transformation 59

AWS Big Data

MAY 4, 2023

Data is transforming every field and every business. However, with data growing faster than most companies can keep track of, collecting data and getting value out of that data is challenging. A modern data strategy can help you create better business outcomes with data.

Data Processing 93

Data Processing Metadata Informatics Interactive 93

Andrew White

OCTOBER 14, 2019

The other idea in my head clearly hearkens back to my previous role, and head of product strategy and new product development at a software company, many moons ago. I also developed plans to bring to market neural network based causal forecasting engines. The training of those engines was critical. Guess what?

Strategy 69

Strategy Modeling Forecasting Marketing 69