2 items tagged "BI software"

  • Implementing BI in your company with 6 helpful steps

    Implementing BI in your company with 6 helpful steps

    Your organization needs to know how to handle data and integrate it for optimal analytics and data-driven decision-making.

    Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. In order to make good business decisions, leaders need accurate insights into both the market and day-to-day operations. Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports.

    But how exactly to implement BI into a company? What kinds of BI tools are available? This article aims to outline the process.

    1. Pitch to Key Players

    Because employees of many different departments will be involved in managing the data in business intelligence, everyone needs to be on the same page before moving forward. Because it is so important to have a shared understanding, have a look at BI software solutions together to make sure all of the key people that will be involved have a full understanding.

    2. Choose Tools and Create a Team

    The next step is preparation. In order to understand what sort of tool will be needed, defining the requirements for the new BI system is necessary. Smaller businesses are usually able to utilize a BI system as-is, while larger companies may need to look at custom solutions. Another important task at this stage is to gather a team to work on a Business intelligence strategy.

    It is important to have a representative from each department who will be involved in its implementation so that they can simplify communication and provide their own department-specific insights from the beginning. You need to make sure that all departments are data-friendly and in sync with each other.

    3. Develop a Strategy

    Depending on the industry, a BI strategy will require a variety of aspects. Most will include documentation of data sources, the KPIs of the specific industry, the kind of reporting necessary, and whether or not the data flow will require automation. Laying out these components will be helpful down the line.

    4. Set Up Data Integration

    This step is one of the most involved and will require quite a bit of time, as well as a lot of work from the IT department. Data warehouses, a database that keeps the information in a processed and defined format, cannot connect directly to information sources, so data integration tools must process the raw data ahead of time to allow it to be usable. Businesses with large volumes of data may also need additional technology to keep the processes from running too slow.

    5. Choose an End-User Interface

    This stage is where the data gets turned into usable information for the end-users. Previously, BI systems only presented statistical reports, but nowadays, interactive dashboards are available with customizable information. These interfaces allow for real-time reporting to find specific information easily. Real-time, customizable reports are called “ad-hoc reporting” and can prove invaluable.

    6. End-User Training

    The last step in integrating a system into a company is to make sure all employees understand how to use it. It is highly recommended to implement training sessions for all potential users, whether it is an automated process or in-person training sessions with a manager or other team member.

    Final Thoughts

    Although business intelligence has been around for a couple of decades, the landscape of available technologies is ever-changing. Rather than just supplying statistical reports, customizable, interactive interfaces allow for much simpler and more effective collaboration between analysts. The technology continues to evolve, including cloud-based and mobile platforms. What was once only a privilege for the highest executives is now a tool at the disposal of the entire company.

    Author: Sean Parker

    Source: Smart Data Collective

  • Why BI reporting is superior to traditional reporting

    Why BI reporting is superior to traditional reporting

    The pandemic has caused a major change in the way we do business. Some organizations had already begun the digitization journey before the pandemic hit, providing them with a head start or those that have managed to rapidly digitize has helped their business survive and enabled people to work remotely. Some of the requirements included using cloud technology to store and analyze large volumes of data which can be accessed by employees, partners and other stakeholders. People cannot afford to wait for weekly or monthly reports to make critical company decisions or need to see this information at home.  The ability to generate accurate, relevant and timely reports is critical if a company is to remain agile. In this post, we will discuss a few ways BI reporting is superior to traditional reporting practices.  

    The ability to turn raw company data into actionable intelligence is at the core of today’s successful businesses.

    Data is increasingly more important to everyone’s role. Its value is in helping people do their jobs better and BI reporting provides a complete picture of how your business is performing.

    BI reporting offers one source of the truth

    Companies often have data stored in multiple sources such as ERP, CRM and third party. Traditionally, data must be combined manually into a single source, typically a spreadsheet.  While spreadsheets have their uses, they are notoriously error-prone and not a good option for reporting. A mistake in a single cell will invalidate the entire report. Additionally, multiple managers will often share a spreadsheet. However, when multiple versions of the same document are created, it’s nearly impossible to guarantee that everyone is using the most current version.

    On the other hand, BI reporting integrates company data from multiple sources, so users always have access to one source of the truth. By consolidating disparate data into one discrete repository, data cannot be accidentally deleted or altered. Also, data is displayed on a BI dashboard in real-time so everyone works from the most current information.  

    BI reporting is on demand 

    As many executives know, traditional reporting is slow, rigid, and becomes outdated quickly.  Long, and often frustrating, wait times for IT generated reports are all too familiar experiences. Yet, executives and managers must rely on weekly, monthly, and annual reports to make critical business decisions. This can lead to missed opportunities.

    In contrast, BI reporting enables everyone to access data, conduct analysis, and create personalized reports without IT involvement. Self-service eliminates the wait time for IT reports. Instead, users can slice and dice the most current data whenever they need real-time, actionable insights. Also, standard reports can be generated on a designated schedule. For instance, reports can be set to generate on Monday mornings in anticipation of weekly staff meetings. If more information is needed during the meeting, a customized report can be created on the spot with just a few clicks.  

    Finally, free of the continuous demand for reports, the IT department has more time to focus their attention on other important tasks such as maintaining security or managing data resources. And, the IT department can apply BI reporting to develop strategies to grow the business and increase profitability. 

    BI reporting gives granular insight

    Traditional reports are static, only providing a summary of information without much detail. This means you cannot investigate which underlying factors are driving what you are observing.  Furthermore, static reports only provide the information you request. Since you can’t probe information you don't know is there, you are only getting half the story. A partial picture can lead to a wealth of missed opportunities.

    Conversely, BI reporting is dynamic allowing users to select a metric and drill down into the underlying data. In this way, users are empowered to ask questions of the data and follow their train of thought to discover the answers. For instance, overall sales figures may be on target. However, drilling down will display sales figures by region, product line, and type. This detailed analysis might reveal the one product is over-performing, and that this is masking the declining sales of another product. With this level of granular insight, the sales team can work to boost the sales of the underperforming product to increase sales revenue overall.

    BI reporting offers data visualizations

    BI reporting presents data in the form of visualizations to help clarity complex information. A graphical depiction of numbers makes the information easier to digest, retain, and recall. Visualizations might be simple bar charts, pie charts, and maps. Or they might be more complex models such as waterfalls, funnels, gauges, depending on your needs. In either case, your team will be able to see all factors that are affecting performance.  Visualization makes it easier to identify patterns, trends, and new opportunities. They offer the ability to see changes in customer behavior so your team can respond in ways that drive sales and enable you to stay ahead of the competition.

    BI reporting for month-end statements

    Finance team using a BI tool to report on month's close can review and analyze financial statements directly. A BI tool with financial statement capability makes month-end financial statements more accessible and allows more people to understand the impact of operational decisions on financial performance faster.

    By adding financial statements to business intelligence software brings active analysis, data drill down and dashboarding to the finance and management team with fully controlled user-permission.

    Financial statements are created in the same tradition as the accounting team recognizes, but the process is automated for each statement. The finance team can quickly build financial statements customized to users’ access, so branch managers can see information relevant to their branch, and management can see information across the whole business. The statements can also sit across one or many ERPs so leaders can view the individual company, branch, regional performance and even the consolidated performance when required.

    Now that preparing the financial statements is faster and simpler, the finance team has time to carry out in-depth analysis of the numbers. By preparing financial statements within a data analytics environment, you can quickly compare statements from one traditional period or outside of these timeframes - say one week to the next.

    Transitioning from traditional reporting to BI reporting will provide the ability to see the whole truth, make better decisions faster and uncover new business opportunities.

    Source: Phocas Software

EasyTagCloud v2.8