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What BI tools and platforms are best for your needs?

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Business intelligence (BI) is the process of collecting, analyzing, and presenting data to support decision-making and improve performance. BI tools and platforms are software applications that enable you to access, transform, visualize, and share data from various sources. But how do you choose the right BI tools and platforms for your needs? In this article, we will explore some key factors to consider when selecting and evaluating BI tools and platforms.

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1 Business goals and use cases

The first step in choosing BI tools and platforms is to define your business goals and use cases. What are the main questions you want to answer with data? Who are the users and stakeholders of the BI solutions? What are their roles, skills, and expectations? How will they access and interact with the data? How often and in what format do they need reports and dashboards? By clarifying your business goals and use cases, you can narrow down your options and focus on the features and functionalities that matter most.

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2 Data sources and integration

The next factor to consider is the data sources and integration. What are the types, formats, and locations of the data you want to analyze? How often does the data change or update? How do you ensure the data quality and security? How do you connect and combine data from different sources? You need to choose BI tools and platforms that can handle your data sources and integration requirements, such as data ingestion, extraction, transformation, loading (ETL), data warehousing, data modeling, data governance, and data lineage.

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Robin G.

Associate at Cognizant | MS PowerBI | BI, Data & Analytics | Mechanical Engineer CET '21
(已编辑)
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In Power BI, Power Query (Data flow in Power BI service) is a powerful tool for handling diverse data sources, analyzing data quality with metrics, cleaning, and transforming data. It records all cleaning and transformations step by step, enabling easy review and editing. Similar features might exist in other BI tools. So it's essential to consider how convenient and reliable is this when choosing a BI tool. Another perspective, especially for ETL, is worth noting. If you do ETL within the BI tool and plan to switch tools, you'll need to repeat ETL operations in the new tool's specific way. If this concerns you, performing ETL outside the BI tool may be a solution. In that case, does a BI tool's ETL capability truly matter?"

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3 Data analysis and visualization

Another important factor is the data analysis and visualization. How do you explore, manipulate, and interpret the data? What are the analytical methods and techniques you need, such as descriptive, diagnostic, predictive, or prescriptive analytics? What are the visualization options and styles you prefer, such as charts, graphs, maps, tables, or gauges? How do you customize, filter, drill-down, or slice-and-dice the data? You need to choose BI tools and platforms that can support your data analysis and visualization needs, such as query languages, functions, formulas, calculations, aggregations, filters, parameters, alerts, annotations, and interactivity.

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4 Data collaboration and delivery

The final factor to consider is the data collaboration and delivery. How do you share and communicate the data insights with others? What are the channels and formats of data delivery, such as web, mobile, email, PDF, or embedded? How do you enable collaboration and feedback among users and stakeholders, such as comments, annotations, ratings, or workflows? How do you manage the access and permissions of the data and reports, such as roles, groups, or authentication? You need to choose BI tools and platforms that can facilitate your data collaboration and delivery needs, such as publishing, scheduling, exporting, embedding, notifications, subscriptions, and security.

Choosing BI tools and platforms is not a one-size-fits-all decision. It depends on your specific business goals and use cases, data sources and integration, data analysis and visualization, and data collaboration and delivery. By considering these factors, you can find the best BI tools and platforms for your needs.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What BI tools and platforms are best for your needs?

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5

1 Business goals and use cases

2 Data sources and integration

3 Data analysis and visualization

4 Data collaboration and delivery

5 Here’s what else to consider

Business Intelligence

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What BI tools and platforms are best for your needs?

1

2

3

4

5

1 Business goals and use cases

2 Data sources and integration

3 Data analysis and visualization

4 Data collaboration and delivery

5 Here’s what else to consider

Business Intelligence

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