Sisense

APRIL 21, 2019

With a comprehensive, BI-focused data strategy, you and your stakeholders will know what your ideal data model should look like once all your data is moved over. This should all be part of your organization’s holistic cloud strategy, with buy-in from major partners who are handling the migration.

OLAP 72

OLAP Modeling Manufacturing Marketing 72

FineReport

FEBRUARY 28, 2020

Enterprise Reporting Strategy . The most important in enterprise reporting strategy are: build enterprise reporting architecture, choose an enterprise reporting tool, and build an enterprise reporting portal. Here, I would take FineReport as an example in the following enterprise reporting strategy.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. But on the whole, BI is more concerned with the whats and the hows than the whys.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

NOVEMBER 12, 2020

Cloud data warehouses have the ability to connect directly to lakes, making it easy to pair the two data strategies. While the architecture of traditional data warehouses and cloud data warehouses does differ, the ways in which data professionals interact with them (via SQL or SQL-like languages) is roughly the same.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jet Global

JANUARY 15, 2021

As Microsoft focuses its reporting strategy around Power BI and Azure Data Lake services, Dynamics partners should carefully consider the implications of starting down the path that Microsoft is recommending. Unfortunately, that has come with significant challenges, including a steep learning curve and slow performance.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

AWS Big Data

FEBRUARY 28, 2023

Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. An analyst can use OLAP aggregations to analyze buying patterns by grouping customers by demographic, geographic, and psychographic data, and then summarizing the data to look for trends.

Online Analytical Processing 73

Online Analytical Processing OLAP Slice and Dice Analytics 73

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

FineReport

JUNE 24, 2021

Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. A business intelligence solution is a set of technologies and strategies.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

BizAcuity

APRIL 1, 2023

In order to be effective, a BI solution must be aligned with the organizational strategy and business objectives and must be able to scale to support the changing needs of the business. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

In order to be effective, a BI solution must be aligned with the organizational strategy and business objectives and must be able to scale to support the changing needs of the business. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Sisense

SEPTEMBER 3, 2019

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

FineReport

JULY 16, 2021

Through this way, it can support current corporate analysis and future decision or strategy making. OLAP is a data analysis tool based on data warehouse environment. Then further make business decisions and strategies based on previous moves. INTERFACE OF BI SYSTEM. Features of BI systems. Data Warehouse. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

IBM Big Data Hub

SEPTEMBER 27, 2023

Security leaders must proactively address the expanding attack surface and bolster their threat detection and response (TDR) strategy to significantly reduce the risk of costly data breaches. Greater visibility and speed are core requirements for effective cybersecurity.

Cost-Benefit 99

Cost-Benefit OLAP Dashboards Visualization 99

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift has added many features to enhance analytical processing like ROLLUP, CUBE and GROUPING SETS , which were demonstrated in the post Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS. For more details, refer to MERGE and QUALIFY clause.

Data Warehouse 101

Data Warehouse OLAP Risk Online Analytical Processing 101

Jet Global

APRIL 19, 2021

Whether a business is building a new data warehouse and set of OLAP cubes or revamping an existing one, the project requires developers to write a massive amount of SQL code. Free up Developers to Work on Strategy. Reclaim Developer Hours. Gather More Valuable Business Insights.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

AWS Big Data

OCTOBER 18, 2023

For Connection name , enter a name (for example, olap-azure-synapse ). Provide a meaningful but memorable name for your project (for example, Azure Synapse to Amazon Redshift). To connect to the Azure Synapse source data warehouse, choose Add source. Choose Azure Synapse and choose Next. For Server name , enter your Azure Synapse server name.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

Domino Data Lab

JULY 2, 2019

Then a query engine gets busy, with much happening under the covers: query history and stats inform various optimization strategies; indexes get used automagically; intermediate results get caches; algorithm variants are substituted, and so on. Nope, that genie is out of the bottle.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Jen Stirrup

OCTOBER 30, 2022

In turn, these patterns can be applied to existing customers to pinpoint those who might churn early so that strategies can be put in place to avoid this. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). Propensity to Churn. Propensity to Buy.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

AWS Big Data

MARCH 20, 2023

Druid hosted on Amazon Elastic Compute Cloud (Amazon EC2) integrates with the Kinesis data stream for streaming ingestion and allows users to run slice-and-dice OLAP queries. He loves software engineering, building high performance teams, and strategy, and enjoys gardening and playing badminton in his free time.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Jet Global

JULY 29, 2020

Oracle’s 2014 Statement of Direction laid out its support strategy. As a heavyweight in the world on enterprise software, Oracle makes a lot of companies scramble any time it decides to stop supporting one of its core products. Such is the case with Oracle Discoverer, one of the primary reporting tools in the Oracle ecosystem.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Smart Data Collective

OCTOBER 25, 2023

One of them is by helping them improve their social media marketing strategies. With the help of BI tools, companies gain valuable insights, enabling them to decode user behavior, assess the impact of their social media strategies, and outshine their competitors. In the 1990s, OLAP tools allowed multidimensional data analysis.

Key Performance Indicator 92

Key Performance Indicator Business Intelligence Data-driven Metrics 92

AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. These types of queries are suited for a data warehouse.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

IBM Big Data Hub

SEPTEMBER 25, 2023

While this side-by-side strategy enabled data capture, they quickly discovered that the data lake worked well for long-running queries, but it was not fast enough to support the near-real time engagement necessary to maintain a competitive advantage. They stood up a file-based data lake alongside their analytical database.

OLAP 89

OLAP Data Lake Data-driven Snapshot 89

Jet Global

MAY 28, 2019

To manage all the integrated data inside a data warehouse, many companies build cubes (OLAP or tabular) for quick reporting and analysis. By improving access to your organization’s data, you’re improving the ability for leadership to execute a smarter strategy based on a more complete, and accurate, picture.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

MAY 1, 2023

Other money-making strategies include adding users in a per-seat structure or achieving price dominance in the market due. This strategy will ultimately increase sales, and prove a competitive advantage. Revenue growth can take a variety of forms. The latter is due to value-added functionality.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52