CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Jedox

APRIL 8, 2021

Effective decision-making must be based on data analysis, decisions (planning) and the execution and evaluation of the decisions and its impact (forecasting). Business Intelligence (BI) and Enterprise Performance Management (EPM) solutions aim to support effective decision-making. an approved budget).

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

AWS Big Data

FEBRUARY 20, 2024

Managed AWS Analytics and Database services allow for each component of the solution, from ingestion to analysis, to be optimized for speed, with little management overhead. Transactional data storage In this solution, we use Amazon DynamoDB as our transactional data store.

Visualization 99

Visualization Cost-Benefit Optimization B2B 99

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 88

Cost-Benefit Data Lake Data Warehouse Enterprise 88

AWS Big Data

MARCH 29, 2024

Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. By connecting the new observability metrics to interactive QuickSight dashboards, you can uncover daily, weekly, and monthly patterns to optimize AWS Glue job usage.

Metrics 104

Metrics Visualization Dashboards Interactive 104

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Cloudera

NOVEMBER 12, 2020

Burst to Cloud not only relieves pressure on your data center, but it also protects your VIP applications and users by giving them optimal performance without breaking your bank. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 103

Data Warehouse Reporting Risk Cost-Benefit 103

CIO Business Intelligence

JUNE 14, 2023

CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP. They know how to assess data quality and understand data security, including row-level security and data sensitivity.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. Let’s find out what role each of these components play in the context of C360.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. Every enterprise wants to improve its business relationship and productivity. It is one of the powerful big data integration tools which marketing professionals use.

Sales 141

Sales Big Data Marketing Software 141

Jet Global

MAY 6, 2020

Devised by the Financial Accounting Standard’s Board (FASB) and International Accounting Standards Board (IASB), the rules are known as ASC 606, and they aim to standardize how companies across industries allocate revenue within the enterprise. Based on that lived experience, NetSuite optimized its product to simplify ASC 606 internally.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

Sisense

MARCH 14, 2021

These rapidly growing datasets present a huge opportunity for companies to glean insights like: Machine diagnostics, failure forecasting, optimal maintenance, and automatic repair parts ordering. To put it bluntly, the challenge we face is that no cloud architecture yet exists which can accommodate and process this big data tsunami.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer.

Cost-Benefit 121

Cost-Benefit Internet of Things Data-driven Data Lake 121

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Many stock market transactions use ML.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Jet Global

JUNE 5, 2019

But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Start future proofing your business today.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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 61

Machine Learning Data Science Statistics Deep Learning 61

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

FineReport

MAY 31, 2023

Contemporary dashboards surpass basic visualization and reporting by utilizing financial analytics to amalgamate diverse financial and accounting data, empowering analysts to delve further into the data and uncover valuable insights that can optimize cost-efficiency and enhance profitability.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory. Microsoft.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

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 92

Technology Forecasting Data Warehouse Reporting 92

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Why does AI need an open data lakehouse architecture?

Data Lake 87

Data Lake Metadata Cost-Benefit Data Warehouse 87

IBM Big Data Hub

DECEMBER 7, 2023

This siloed approach often resulted in data redundancy and complexity, hampering integration with other business systems. C-OLAP optimized data storage for faster query processing, while IM-OLAP stored data in memory to minimize data access latency and enable real-time analytics.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. Savings may vary depending on configurations, workloads and vendors. [2]

Data Warehouse 81

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 81

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

FEBRUARY 4, 2019

Silos are one of the reasons that data science emerged as a discipline. Silos top the list of “Why enterprise organizations fail?” with respect to leveraging data. That approach probably created data silos between divisions, due to costs, budgets, accounting procedures, etc. Brace yourselves for impact.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

FEBRUARY 8, 2021

Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). Predictive Analytics – predictive analytics based upon AI and machine learning (predictive maintenance, demand-based inventory optimization as examples). 1 The enterprise data lifecycle. Data Enrichment Challenge.

Manufacturing 116

Manufacturing Data Warehouse Sales Predictive Analytics 116

IBM Big Data Hub

OCTOBER 12, 2023

Ensuring compliance with governmental regulatory requirements as well as internal policies An AI model must be fully understood from every angle, inside and out—from what enterprise data is used and when , to how the model arrived at a certain output. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 85

Cost-Benefit Metadata Data Governance Modeling 85

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

OCTOBER 27, 2022

Consequently, this data was siloed, unshareable, hard to use, lacked quality and governance controls, and could not be used in automated processes. Newcomp drew on their technical ability and extensive industry experience with CPG metrics, collaborating with Lindt to understand their business challenges and where to optimize.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 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. Digital twins allow you to effectively model operations, monitor every aspect of your operation and optimize the output of your system.

Data Collection 86

Data Collection Visualization Data-driven Unstructured Data 86

Sisense

MAY 11, 2021

With our strategy in mind, we factored in our consumers and consuming services, which primarily are Sisense Fusion Analytics and Cloud Data Teams. Interestingly, this ad hoc analysis benefits from a single source of truth that is easy to query to allow for quickly querying of raw data alongside the cleanest data (i.e.,

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Smart Data Collective

FEBRUARY 20, 2022

There are several recommendations for optimizing the costs of maintaining a DAM system. DAM market trends and forecasts. What trends will dominate this area of enterprise security? In the case of mature solutions that have been on the market for a long time, it is easier to find qualified administrators.

Behavioral Analytics 117

Behavioral Analytics Risk Machine Learning Interactive 117

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. A push on productivity.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. As an organization embraces digital transformation , more data is available to inform decisions. Boost Revenue.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Jet Global

JANUARY 19, 2024

In particular, we are regularly asked to tell stories with data; the rest of this article focuses on how we can optimize our data storytelling. Δ The post Optimizing Your Data Story appeared first on insightsoftware. Cookies are required to submit forms on this website. Enable cookies.

Optimization 52

Optimization Visualization Finance Reporting 52

Sisense

NOVEMBER 5, 2021

Modernizing your company’s analytics requires a platform that can handle a wide array of data coming from multiple different locations, and make it all make sense together. Ensuring the highest possible level of data accuracy was also top of mind — inaccurate data will spell disaster for even the priciest analytics deployment.

Analytics 52

Analytics Data-driven Reporting Interactive 52