Integrated analytics is the future of analytics

0
49

Digital transformations have taken over corporate America. In recent years, companies of all sizes have found that much of their success now rests on the ability to quickly interpret incredible amounts of data. As the business intelligence space grows exponentially, traditional BI tools still struggle to keep pace with the need for a quick and decisive interpretation of this wave of information.

Integrated analytics entered this dilemma as an agile and robust solution.

Interpret the data

The modern tools available to companies make them adept at gathering information on potential and potential customers. Still, organizations are challenged to dissect intelligence, manage and disseminate it to exploit this knowledge in comparable levels of growth. They ask themselves: “What does all this intelligence tell us?”

It is a common appeal among companies and their staff who are burdened with rigid software solutions but are not IT professionals.

While traditional BI software boasts the strength of being data-rich, its main drawback is that it’s only fully beneficial to the most technologically savvy users. Those with a technical degree eventually feel comfortable with traditional BI data solutions. At the same time, novice, advanced, and even experienced analysts struggle to develop the sophistication needed to navigate a data software platform as designed.

Even if a user-analyst becomes a master of technology, there are limitations inherent in his or her design that will ultimately limit corporate output. The obstacles are numerous and can include:

  • Users must leave a workflow to get the data
  • The tool is too complex for normal day-to-day operations
  • Rigid structures for data modeling
  • Long implementation times
  • Low value for general users unable to produce in-depth data
  • Limited return on investment due to expenses

The architectural design of these traditional tools makes them difficult to integrate or scale even for the future. Their universal functionality meets the original goals set by their developers. However, they leave little room for end users to create customizable functions suited to individual business goals. And users’ business goals are expected to fluctuate over time.

Stay in business

Without built-in analytics, collected data is often not presented in a way that is relevant to quick decision making and does not mature with business needs. Conversely, integrated analytics makes an immediate impact by integrating data directly into your workflow. Accelerate decision making by drawing on information accessed directly from dashboards, reports, and previous history.

Using traditional BI to generate a report or pivot table can be beneficial, but integrated analytics goes far beyond those boundaries. In addition to its attribute that allows users to stay within their own workflow, other benefits include:

  • Flexibility in data modeling
  • Shorter implementation cycles which result in lower costs
  • Analytical features created and controlled by users
  • Improved user experience
  • Users remain in the application

Additionally, if companies embrace integrated analytics into their data toolset, they unlock the potential of user-analysts to gain up-to-date information, solve business problems, and better predict future outcomes.

With built-in analytics, users can create specific user profiles that reflect their roles and responsibilities within the organization. User analysts can readily qualify and quantify business values ​​on data through these profiles, thereby improving problem resolution.

Alternatively, creating people accessing the data that meets the general needs of individual users may be sufficient and ensure that the data is kept secure outside their scope of need for knowledge. Built-in analytics can also match functionality to users’ needs and experience, allowing them to work smarter. Features grow to satisfy users’ talents, roles, and questions related to their responsibilities. And with integrated analytics, companies can choose the depth of data integration achievable for each user or person.

Organizations that adopt these functional characteristics for their data analysis are better suited to developing project requirements and prioritizing project phases. The self-service and personalization built into the built-in data tools allow users to increase their analytics proficiency. And as their level of talent grows, more meaningful intelligence is within their reach, enabling faster, more informed and forward-thinking business decisions.

Evolving needs

Many companies engage in traditional BI solutions and then, later on, are forced to adapt how they tap into intelligence when software lacks their needs. This happens across the enterprise, across teams, or on a case-by-case basis between individual users. Regardless of scope, the BI solution forces people to change the way they work with data rather than improve the way they obtain and use data for decision making.

On the other hand, fully integrated analytics maintains its brilliance by continually evolving to serve users in their workspace, making them data savvy and decision driven. As businesses become even more data-driven, neither analysts nor the organization will need advanced headlines to find out what its intelligence can reveal.

Analytics is spreading to all software applications. Just as consumers demand continuous service in their interactions with companies, organizations demand more of themselves and in B2B interaction, to provide timely decisions from the intelligence they compile.

Integrated analytics addresses self-service needs. Its help goes far beyond tech-savvy analysts to include non-technical users who need access to intelligence within their business applications. This support brings the user experience to the fore, putting analysis and decision making in more hands than a few experienced users. As companies set aside many long-standing traditions for newer and more agile operations, integrated analytics will drive the charge of transformation.

Image credit: Olivier26/depositphotos.com

Carlo Caldwell is Vice President of Product Management at Logi Analytics, with over 20 years of experience in the analytics market, including a decade of direct customer implementation assistance. He writes and talks extensively about analytics, emphasizing in-app embedding, optimizing user experience, and using modern data sources. Caldwell holds an MBA from George Washington University. On LinkedIn Other Twitter.

LEAVE A REPLY

Please enter your comment!
Please enter your name here