CIO Business Intelligence

DECEMBER 1, 2022

Kanioura, who was hired away from Accenture two years ago to serve as the food and beverage multinational’s first chief strategy and transformation officer, says earning employee trust was one of her greatest challenges in those early months.

Digital Transformation 123

Digital Transformation IoT Data-driven KPI 123

Jet Global

MAY 6, 2020

With licensing agreements, for instance, revenue must now be recognized upfront, making it difficult to compare current recent financial statements against past statements for the purposes of forecasting and strategic planning. NetSuite forms the foundation of a strong ASC 606 strategy. In the process, it did the same for all users.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

Cloudera

NOVEMBER 12, 2020

Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. A solution.

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

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. In those situations, he says, you need to tell yourself: “Get back to your strategy. It was very fragmented, and I brought it together into a hub-and-spoke model.”.

IT 78

IT Forecasting Data Lake Enterprise 78

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. Those decisions can have a direct impact on customers.

Cost-Benefit 107

Cost-Benefit Internet of Things Data-driven Data Lake 107

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 70

Cost-Benefit Data Lake Data Warehouse Enterprise 70

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. The accuracy of store customer flow forecast has now reached 95%.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

Cloudera

DECEMBER 20, 2022

This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model. Replay our webinar : Machine learning model deployment: Strategy to implementation.

Optimization 79

Optimization Data Analytics Analytics Cost-Benefit 79

Jet Global

JANUARY 15, 2021

The company has offered up “bring your own database” (BYOD) as a workaround and has presented data entities as a long-term approach to data access for reporting. 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

Jet Global

JUNE 5, 2019

Transforming your raw data into business insight via the process of data mining takes place over five steps: Extract, Transform, and Load (ETL): The first stage in data mining involves extracting data from one or many sources (such as those referenced above), transforming it into a standardized format, and loading it into the data warehouse.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Birst BI

AUGUST 27, 2019

Insights cannot be gathered fast enough, and no one is looking at the same numbers.The root of the problem is that data is spread across different systems – data warehouses, e-commerce, merchandising, planning and more. As a result, departments pull their own data independently and create their own version of performance.

Sales 40

Sales Key Performance Indicator Strategy Business Intelligence 40

FineReport

MAY 31, 2023

The balance sheet plays a vital role in internal management, helping companies fine-tune their business strategies and prevent misuse. By comparing the current ratio, quick ratio, and cash flow ratio, companies can assess their current operational status and determine necessary actions to align with their business strategies.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. QuickSight offers scalable, serverless visualization capabilities.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

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

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. Before the implementation of this system, one dataset took 1 month to onboard.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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 89

Technology Forecasting Data Warehouse Reporting 89

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

CIO Business Intelligence

JUNE 29, 2022

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Azure Data Factory. Microsoft.

Data Lake 110

Data Lake Analytics Data Warehouse Machine Learning 110

IBM Big Data Hub

OCTOBER 4, 2023

It’s no longer a nice-to-have, but an integral part of a successful data strategy. The first step for successful AI is access to trusted, governed data to fuel and scale the AI. Why does AI need an open data lakehouse architecture? from 2022 to 2026. Later this year, watsonx.data will infuse watsonx.ai

Data Lake 85

Data Lake Metadata Cost-Benefit Data Warehouse 85

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 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. To achieve this, first requires getting the data into a form that delivers insights.

Sales 91

Sales Forecasting Snapshot Management 91

Smart Data Collective

DECEMBER 13, 2022

Data analytics is widely used in business since it allows organizations to better understand their consumers and improve their advertising strategies. Five Best Practices for Data Analytics. Extracted data must be saved someplace. Because of the various advances, this is a highly dynamic sector. Select a Storage Platform.

Visualization 136

Visualization Key Performance Indicator Sales Data Lake 136

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 78

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 78

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( An OLAP system cannot access transactional data.

Online Analytical Processing 130

Online Analytical Processing OLAP Analytics Data Warehouse 130

Sisense

AUGUST 16, 2021

.” It falls to cloud data teams and other stakeholders to weigh their options and pick the best products to meet these needs, often holding off on choosing a BI tool until they’ve settled on a cloud-based data warehouse, even if the platform could help them start evolving their business immediately. AI can help with that!

Data Warehouse 52

Data Warehouse Analytics Cost-Benefit Visualization 52

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. This is the first post in a series of three on data-driven organisations.

Data-driven 79

Data-driven Data Lake Data Warehouse Cost-Benefit 79

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 126

IT Business Intelligence Sales Key Performance Indicator 126

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

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

Alation

DECEMBER 14, 2021

Today, AWS is supporting growth in the bio-sciences, climate forecasts, driverless cars and many more new-age use cases. These included: Johnson & Johnson is migrating its entire enterprise data warehouse to the cloud to get better performance, reduced costs, and superior scalability. Other Keynote Highlights. In Conclusion.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. Cloud data warehouses provide various advantages, including the ability to be more scalable and elastic than conventional warehouses.

Big Data 105

Big Data Data-driven Recreation/Entertainment Data Governance 105

Cloudera

OCTOBER 30, 2017

Simply finding what data lives where, and who has access, becomes less simple if there is no common control plane for the data. These strategies carry the potential to help find the right mix of qualities, while balancing costs and preserving negotiation power.

Big Data 40

Big Data Forecasting Optimization Marketing 40

AWS Big Data

FEBRUARY 20, 2024

As online transactions have gained popularity with consumers, the volume and velocity of data ingestion has led to challenges in data processing. Organizations that can’t quickly adapt their business strategy to align with consumer behavior may experience loss of opportunity and revenue in competitive markets.

Visualization 99

Visualization Cost-Benefit Optimization B2B 99

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

datapine

NOVEMBER 11, 2021

For instance, you can add all your data sources into one single point of access within seconds, and the tool will automatically update them with no need for manual work saving a lot of time that can be dedicated to other tasks. On one hand, the remote connection allows you to keep all your data on your server and access it remotely.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

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

Smart Data Collective

FEBRUARY 20, 2022

It may include a great deal of consulting and delivery of other security tools and data, such as dark web threat intelligence. By and large, you need to build an entire data protection strategy. DAM market trends and forecasts. DAM implementation is an ongoing, cyclical process. Let’s get to the bottom of this.

Behavioral Analytics 117

Behavioral Analytics Risk Machine Learning Interactive 117