Microsoft Developed Power BI primarily as a business intelligence “Interactive data visualization” tool. A part of the greater Power Platform from Microsoft, Power BI is a collection of different apps, services and connectors that collect data from unrelated sources to provide coherent and interactive insights with immersive visualization. The tools that come with Power BI allows Power BI developers to input data through webpages, databases and different structured data files like CSV, Spreadsheets, JSON and XML.
Relationship between BI Strategy & Business Analysis
Today more organizations are leaning in favor of data driven business decision making. But not all firms can afford to keep in-house BI and BA personnel to gather and collect such data and to come up with relevant strategies. iSummation comes to the picture here by providing businesses with services and Power BI developers who gather data driven insights and formulate winning strategies that are most likely to achieve organizational goals.
Enterprise business leaders have recognised the importance of business intelligence for quite some time now. Power BI development helps collect the data the businesses need to boost revenues, enhance profit margins and become a more competitive business. Business Analysts on the other hand transform the data and insights into tangible plans that the organization can act upon. Real-time decision making is helped by real-time data in the BI, BA scheme of things.
Data Warehousing, Architecture & Maintenance
In the IT world, data warehouses sometimes also called an enterprise data warehouse is a reporting and data analysis system businesses have put in place to function as basic BI components. A data warehouse is essentially a central repository of integrated data usually with multiple, disparate sources. A data warehouse acts as the central storage place of both current and historical data. Such data is used for creating analytical reports for operations and workers right across the business enterprise.
On the other hand, data warehouse architecture refers to the design and framework the organization follows while collecting and storing data, respectively.
Experts and businesses use the term “data warehouse maintenance” to refer to the methods and processes used while changing schemas and instance levels to reflect the modifications in the application requirement and domains of data warehouses.
As might be obvious usually businesses with limited resources can’t afford such technically skilled personnel. iSummation with its pool of expert BA and BI personnel and Power BI developers can give you the data and insights you need at a fraction of in-house team costs.
Data Cleansing, Preparation & ETL
Data Cleansing which is often referred to as data cleaning or scrubbing concerns itself with the detection and removal of inconsistencies and errors from data thus improving its quality.
On the other when we are talking about Data preparation, we are talking about the process of taking raw data and preparing it for further processing. Data preparation is the broader term which includes key steps like collection, cleansing and labelling of raw data.
It is after data preparation that the data becomes suitable for various uses like visualization and processing by ML (Machine Learning) algorithms.
The data integration process that accumulates and integrates data derived from multiple sources into one, standard data store is called ETL. Through ETL the data ends up at a data lake, data warehouse amongst other target destinations. iSummation stands beside your business every step of the way with Power BI development and will guide you through the entire process!
Multiple Data Sources Integration
In data integration, data is collected from several, diverse sources and combined to present a unified view to the user. Data Integration assumes great significance in many situations.
Two common data integration situations are the commercial and the scientific situations. Examples of the former would be things like company databases being combined due to a merger. An example of scientific data integration needs would be to combine research findings from a variety of bioinformatic repositories.
The need for data integration tasks is increasing by the day as Big Data becomes bigger or more voluminous and sharing existing data becomes more necessary. Data integration is still an evolving field with lots of academic and research work going on and there are a lot of problems that need to be resolved.
Data Modelling
Data is stored in databases according to a particular data model and the process is referred to as data modelling. Such data models essentially represent data objects, the enforced rules and the relationships between the different data objects conceptually.
Power BI Implementation
Power BI which we talked about earlier is Microsoft’s solution for businesses that want to analyze and visualize data and prepare reports from sources like Dynamics NAV. iSummation provides 360-degree Power BI implementation services with expert devs of power bi like:
- Data Analysis
- Financial overview
- Interactive reporting
- Data Visualization
- User-friendly mobility
Characteristics of Power BI Visualization & Reports
- A variety of attractive Visualizations
- Get Data (Supports a wide range of Data Sources)
- Customizable Dashboards
- Datasets Filtration
- Informative Reports
- Flexible Tiles
- Natural Language Q & A Question Box
On-Demand Power BI Consulting
Irrespective of whether you are looking for in-depth research of your business intelligence needs using Power BI or require external help in customization and implementation of the Power BI environment, iSummation will guide you all the way through!
Power BI Real-Time Reports
Our pool of Power BI experts will help you use your data and the software itself. iSummation doesn’t merely offer reporting services but take a step forward to generate create reports of any nature and complexity!
