CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. Pimblett hasn’t yet catalogued all of Very’s data, however. We’re picking off the highest potential value and highest risk areas,” he says.

IT 81

IT Forecasting Data Lake Enterprise 81

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 can help a company forecast demand, or anticipate fraud. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Octopai

JANUARY 8, 2020

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. You can evaluate and mitigate compliance risks. On the Horizon: Federal Data Privacy Law. A vital component of business forecasting is automated metadata queries.

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

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

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova.

Cost-Benefit 110

Cost-Benefit Internet of Things Data-driven Data Lake 110

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. AI and ML use decades of stock market data to forecast trends and suggest whether to buy or sell. ML can also conduct algorithmic trading without human intervention.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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 55

Data Warehouse Data Lake Unstructured Data Optimization 55

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

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

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

Data-driven 42

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 42

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 86

Technology Forecasting Data Warehouse Reporting 86

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. Finance and accounting teams often deal with data residing in multiple systems, such as accounting software, ERP systems, spreadsheets, and data warehouses.

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 62

OLAP Slice and Dice Cost-Benefit Data Warehouse 62

CIO Business Intelligence

OCTOBER 10, 2022

The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. Achieve 10x faster-planning cycles despite having larger data volumes . FHCS integrated its landscape built on SAP ERP and SAP Business Warehouse with specialized forecasting in SAP Integrated Business Planning (IBP).

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

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

Cloudera

OCTOBER 30, 2017

As such, we’re seeing cloud-based big data growing exponentially for Cloudera customers and across the market as a whole. For these organizations, it’s essential that they are also managing the associated risks and costs of going to a cloud environment.

Big Data 40

Big Data Forecasting Optimization Marketing 40

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 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

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. This is one approach to solving the challenge of data silos.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Smart Data Collective

FEBRUARY 20, 2022

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. A typical DAM deployment project can last from one month up to several years.

Behavioral Analytics 117

Behavioral Analytics Risk Machine Learning Interactive 117

IBM Big Data Hub

OCTOBER 12, 2023

To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture. This type of architecture combines the performance and usability of a data warehouse with the flexibility and scalability of a data lake. Learn more about IBM watsonx 1.

Cost-Benefit 81

Cost-Benefit Metadata Data Governance Modeling 81

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

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. Knowledge catalogues can help organize data effectively, and the data refinery provides out-of-box models for data cleansing.

Data Collection 80

Data Collection Visualization Data-driven Unstructured Data 80

Sisense

APRIL 22, 2021

She quickly noticed that employees couldn’t access data quickly enough to be proactive in decision-making. Managers couldn’t decide which sites to visit first and what risks were involved. Paula decided that data and analytics would help TCFM improve efficiencies in the business. The second factor was customers.

Management 52

Management Dashboards Analytics Cost-Benefit 52

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

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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. Public sector data sharing.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

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. Facilitates a Data-Driven Culture that Enables Collaboration.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Risk Management (most likely within context of governance).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 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. Successful Demand Planning and Forecasting.

Forecasting 52

Forecasting Recreation/Entertainment Sales Finance 52

Jet Global

JUNE 17, 2021

Although the workbooks were standardized, data entered were not always complete or in line with numbers forecast earlier in the year. The semi-manual approach to data capture also led to inaccuracies that needed to be managed and corrected centrally. The Need to Free Up Time. User Acceptance.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

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

APRIL 25, 2024

Organizations that maintain SOX compliance support confidence in financial markets by operating within a framework that mitigates the risk of corporate fraud and strengthens the integrity of financial reporting. The majority of your SOX compliance audit will be spent reviewing internal controls for the purposes of risk management assessment.

Reporting 52

Reporting Risk Management Risk Software 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

NOVEMBER 8, 2021

When you are planning an ERP migration, sizing up the tools and technologies that will enable or inhibit the success of your data migration is an important step in the process. Essentially, the data will not give clues that it was ever transported from one system to another. Accelerating and De-Risking Validation.

Recreation/Entertainment 98

Recreation/Entertainment Reporting Finance Cost-Benefit 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

AUGUST 24, 2023

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

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