datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. BI Data Scientist. A data scientist has a similar role as the BI analyst, however, they do different things. They use advanced technologies such as machine learning models to generate predictions about future business performance.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. Reinforcement learning uses ML to train models to identify and respond to cyberattacks and detect intrusions. Antivirus programs may use AI and ML techniques to detect and block malware.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

Jet Global

JANUARY 15, 2021

You might measure those costs in different ways, including actual dollars and cents, staff time, added complexity, and risk. There are numerous soft costs involving risk and potential business disruption. A non-developer can build a custom data warehouse with Jet Analytics in as little as 30 minutes.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Smarten

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Analytics 40

Analytics IT Business Intelligence Visualization 40

IBM Big Data Hub

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 85

Technology Forecasting Data Warehouse Reporting 85

FineReport

MAY 31, 2023

Budget variance quantifies the discrepancy between budgeted and actual figures, enabling forecasters to make more accurate predictions regarding future costs and revenues. The Dupont analysis model comprises three key components: profit margin, asset turnover, and equity multiplier.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

IBM Big Data Hub

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

OLAP 60

OLAP Slice and Dice Cost-Benefit Data Warehouse 60

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79

AWS Big Data

MARCH 26, 2024

Enrichment typically involves adding demographic, behavioral, and geolocation data. You can use third-party data products from AWS Marketplace delivered through AWS Data Exchange to gain insights on income, consumption patterns, credit risk scores, and many more dimensions to further refine the customer experience.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

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. Choosing a flexible solution for data experts and business users alike.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Alation

APRIL 6, 2023

Spreadsheets are not typically developed and managed for enterprise use, which opens the door to risk from malicious actors, as well as human errors. A “Value at Risk” (VaR) model operated on a series of spreadsheets, which were built manually, via copy and paste. Leaders seek to use strategic data with confidence more often.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. billion by 2029, at a CAGR of 28.58% in the forecast period. DaaS uses built-in deep learning models that learn by analyzing images and video streams for classification. billion in 2022 to USD 47.38

Data Collection 80

Data Collection Visualization Data-driven Unstructured Data 80

Smart Data Collective

FEBRUARY 20, 2022

A subscription model with annual or monthly payments is the most common licensing mechanism at this point. During this process, you need to analyze your data assets, categorize and prioritize them, conduct a risk assessment, and establish appropriate monitoring and response techniques. DAM market trends and forecasts.

Behavioral Analytics 115

Behavioral Analytics Risk Machine Learning Interactive 115

Domino Data Lab

FEBRUARY 4, 2019

Lately there’s been lots of dialog about bias in machine learning models, though considering the noise part of the equation is an important corollary. We’d love to hear your insights and perspectives about running data teams. The ability to measure results (risk-reducing evidence). Legal concerns, risk, compliance.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

AUGUST 29, 2022

The book has three main ideas: The biggest risk your company faces is investing a lot of time and resources into building something that the market doesn’t want. and this book will give you an insight into their data collecting procedures and the reasons behind them. Product/market fit is THE most important factor to get right.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Looking forward through data.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

JANUARY 27, 2022

Raw data includes market research, sales data, customer transactions, and more. Analytics can identify patterns that depict risks, opportunities, and trends. And historical data can be used to inform predictive analytic models, which forecast the future. What Is the Value of Analytics? Boost Revenue.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Jet Global

OCTOBER 18, 2021

The “What” and “Why” of Demand Planning and Forecasting. To allocate assets effectively and operate more efficiently, supply chain managers have turned to the science of demand planning and forecasting. Demand forecasting is about predicting potential spikes or troughs in demand. The Four Elements of Demand Planning.

Forecasting 52

Forecasting Recreation/Entertainment Sales Finance 52

Jet Global

APRIL 18, 2024

Constant market changes have increased pressure on faster, more accurate forecasting and reporting to inform rapid decision-making. You now must connect organizational data and enable agility across all relevant stakeholders if you hope to achieve profitability.

Forecasting 52

Forecasting Finance Dashboards Reporting 52

Jet Global

MAY 6, 2024

Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments. This untapped potential suggests a significant opportunity for those willing to embrace AI and gain a competitive edge through intelligent automation and data-driven financial insights.

Finance 52

Finance Reporting Data Transformation Optimization 52

Jet Global

MARCH 18, 2022

Bizview offers an integrated, web-based budgeting, planning, and forecasting solution. With its solid, self-service reporting, dashboards, and analytics, Bizview connects in near real-time to all your data sources. Choosing a vendor like insightsoftware who has already done it for your ERP and industry is the lowest risk approach.

Forecasting 98

Forecasting Reporting Finance Risk 98

Jet Global

APRIL 5, 2021

Enterprises actively use financial modeling to guide their financial planning and strategic decision-making. Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. That being said, one model can’t do it all. What Is Financial Modeling?

Modeling 98

Modeling Forecasting Metrics Finance 98

Jet Global

MARCH 18, 2022

This increases reporting speed, improves collaboration, and simplifies processes to drive smarter decisions from more accurate data. Bizview is an integrated, web-based budgeting, planning and forecasting solution that offers solid, self-service reporting, dashboards, and analytics. De-risk implementation With Proven EBS Interface.

Forecasting 59

Forecasting Reporting Finance Risk 59

Jet Global

JUNE 27, 2023

By integrating AI technology into finance workflows, FP&A teams can automate repetitive manual processes and free up as much as 50 percent more time for value-add analysis , financial modeling, and strategy. Keep track and compare your previous figures with built-in version control.

Finance 52

Finance Cost-Benefit Forecasting Reporting 52

Jet Global

AUGUST 24, 2023

Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. The Harvard Business Review study finds that 88% of organizations that already have a hybrid model in place see themselves maintaining the same strategy into the future.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

JULY 28, 2023

Understanding evolving market conditions and consumer behaviors in EMEA remains crucial for capitalizing on emerging opportunities and mitigating risks in this dynamic and competitive landscape. The top external factors impacting finance team efficiency in EMEA are economic disruption (52%), interest rates (47%), and skills shortages.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

MAY 6, 2024

No more wrestling with codes or hunting for information – you can access data in clear terms, building towards a future where your team is empowered to leverage AI tools for tasks like automated reports, forecasting future trends, or identifying potential risks.

Data-driven 52

Data-driven Finance Data Quality Reporting 52

Jet Global

SEPTEMBER 1, 2023

But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends. Analysts can use predictive analytics to foresee if a change will help them reduce risks, improve operations, and/or increase revenue.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Jet Global

JUNE 5, 2023

Tax teams of multinational enterprises (MNEs) face increasing challenges to manage business and market risks effectively while reporting, as well as the shift of resources within companies. By doing so, you’ll be able to optimize your tax technology and processes so you can both spot data insights and mitigate risk.

Reporting 52

Reporting Forecasting Software Finance 52

Jet Global

MARCH 2, 2022

For one, companies that place an emphasis on their environmental and social impacts and responsibilities, have been shown to be more resilient and that they’re able to manage their risks better during a crisis. The SFDR aims to give more transparency about sustainability and provide a common set of rules on sustainability risks.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Jet Global

OCTOBER 25, 2023

Predictive analytics refers to using historical data , machine learning, and artificial intelligence to predict what will happen in the future. This historical data is fed into a mathematical model that considers key trends and patterns in the data.

Analytics 52

Analytics Predictive Analytics Machine Learning Software 52

Jet Global

FEBRUARY 20, 2024

Accurate Forecasting : Predict future demand with confidence. Make data-driven purchasing decisions and proactively manage risks. Boost Profitability : Eliminate inefficiencies and optimize resource allocation based on real-time data. Free your team to focus on strategic analysis and process improvement.

Operational Reporting 52

Operational Reporting Reporting Digital Transformation Optimization 52