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)
یایید به برخی از بازیگران برتر در هوش تجاری و راهحلهای مختلف آنها نگاهی بیندازیم،
Loop چیست؟
ترکیبی از نرم افزار هوش تجاری و نرم افزار مدیریت عملکرد تجاری است. در حالی که سازمانها میتوانند روزانه از هوش تجاری برای رمزگشایی کلان دادهها و تجزیه و تحلیل رفتار مشتری استفاده کنند، افزودن قابلیتهای مدیریت عملکرد تجاری به ایجاد یک برنامه مشخص و نتایج عملی کمک میکند. Loop هم هوش تجاری و هم قابلیت های مدیریت عملکرد تجاری را در یک سیستم واحد ارائه می دهد. تجزیه و تحلیل هوش تجاری استراتژیک را ارائه می دهد و به اجرای برنامه ها با ابزارهای ارتباطی، ردیابی KPI و بررسی کمک می کند. داشبوردهای قابل تنظیم برای تسهیل تجزیه و تحلیل عمیق، و جمع آوری، تمیز کردن و متمرکز کردن داده های مشتری از قوی ترین ویژگی های Loop هستند. این قابلیت آن را برای سازمان هایی که به دنبال ساده کردن گزارش خود هستند، ایده آل می کند.
Microsoft Power BI Power BI
آماده سازی داده ها، کشف داده های مبتنی بر بصری، داشبوردهای تعاملی و تجزیه و تحلیل را ارائه می دهد. مایکروسافت با تبدیل Power BI به بخشی از Office 365 E5، یک کانال عظیم برای استفاده ایجاد کرده است. با این حال، این موضوع می تواند مشکلاتی را در مدیریت و هماهنگی خروجی ها ایجاد کند.
ویژگی های کلیدی:
به راحتی داده ها را از برگه اکسل در Power BI آپلود کنید یا داده ها را از وب وارد کنید. ایجاد ساده داشبوردهای مشترک از داده های اکسل. طیف وسیعی از تصاویر و گرافیک به راحتی در دسترس است.
دومو
Domo یک پلتفرم مبتنی بر ابر است که بر سهولت استفاده تمرکز دارد. می تواند مجموعه داده ها را مشاهده کرده و آنها را به گردش کار تبدیل کند. Domo همچنین تجسم های جذاب و مقیاس پذیر را در کنار ویژگی های امنیتی پیشرفته و پشتیبانی تلفن همراه ارائه می دهد.
ویژگی های کلیدی:
تمرکز بر طراحی مصرف کننده برای جلوگیری از رویکرد مصرف کننده قدرت سایر رقبای برجسته تر. تجسم داده های پیشرفته با گزینه های متعدد برای نمایش داده ها و ساخت داشبورد با کشیدن و رها کردن. رویکرد جدید رسانه های اجتماعی برای ارتباط بینش.
تابلو
Tableau که از سال 2019 متعلق به Salesforce.com است، راهحلهای میزبان ابری (Tableau Online و Tableau CRM) را ارائه میدهد، اما میراث این شرکت واقعاً در استقرار داخلی است. Tableau به طور خاص طراحی شده است تا کاربران را قادر به دسترسی، آماده سازی، تجزیه و تحلیل و ارائه یافته ها از داده های خود کند. این پلتفرم همچنین از بازاریابی قدرتمند و ارائه محصولات سازمانی سود می برد.
ویژگی های کلیدی:
Tableau با موتور ثبت اختراع VizQL تجربه تجزیه و تحلیل بصری خود را تجربه می کند. پشتیبانی از برقراری ارتباط با بسیاری از منابع داده، مانند HADOOP، SAP و DB Technologies، بهبود کیفیت تجزیه و تحلیل داده ها. ادغام با سایر خریدهای Salesforce مانند MuleSoft و Slack به مشتریان Salesforce دلیل محکمی برای در نظر گرفتن Tableau می دهد.
دونداس بی
Dundas BI ترکیبی از BI و تجزیه و تحلیل در یک پلتفرم مبتنی بر وب است و عمدتاً برای ایجاد داشبورد و کارت امتیاز استفاده می شود. طبق گفته گارتنر، Dundas به شرکتهای بزرگ میفروشد، اما متخصص در BI.3 تعبیهشده OEM میتواند Dundas BI را در برنامههای خود ادغام، گسترش، سفارشیسازی و تعبیه کند.
ویژگی های کلیدی:
تمرکز شدید بر سلف سرویس. یک رابط HTML5 انعطاف پذیر که می تواند از هر دستگاهی پشتیبانی کند. امکان پیوند به Microsoft Active Directory (AD) و حساب های کاربری محلی.
Oracle Analytics Cloud (OAC)
Oracle Analytics Cloud یک راه حل مبتنی بر هوش مصنوعی است که هم ویژگی های گزارش و هم تجزیه و تحلیل را ارائه می دهد. این سرعت را از طریق موتور پردازش داده خود، به ویژه برای مشاغل بزرگتر ارائه می دهد که به دنبال یکپارچه سازی و خودکارسازی فرآیندهای گزارش خود هستند.
ویژگی های کلیدی:
با طیف گسترده ای از قابلیت های تجزیه و تحلیل، کاربران می توانند از طریق چت ربات های مختلف و رابط های همکاری که توسط دستیار دیجیتال اوراکل پشتیبانی می شوند، از تجزیه و تحلیل استفاده کنند. OAC داده ها را برای کشف روندها و تبدیل آن داده ها به یک تجسم بصری آماده و تجزیه و تحلیل می کند. OAC از نزدیک با پایگاه نرم افزاری نصب شده گسترده تر اوراکل ادغام خواهد شد.
Qlik
هدف Qlik ارائه جامع ترین دسترسی سازمانی به تمام داده ها، مشروط به سیاست های حاکمیت شرکتی است. داشبوردهای "پیش از پیش آماده" را ارائه می دهد - که به طور خاص برای تجزیه و تحلیل و تفسیر داده ها پیکربندی شده اند.
ویژگی های کلیدی:
چشم انداز قوی محصول برای چندین سال مبتنی بر یادگیری ماشین و هوش مصنوعی. Qlik را می توان به طور انعطاف پذیر در محل یا با هر ارائه دهنده ابر اصلی، با چند ابر یا با ترکیبی از این رویکردها مستقر کرد. خرید شرکتهای جدید توسط Qlik در حال گسترش قابلیتهای جامع خود است، اما ممکن است منجر به پیچیدگی یکپارچهسازی شود.
رویکرد ترکیبی را با Loop در نظر بگیرید بسیاری از شرکتهای موجود در این فهرست، الزامات اتصال، تجسم و تجزیه و تحلیل را برای افزایش پیشنهادات BI خود پذیرفتهاند. برخی مانند Tableau از منظر تجسم به آن می پردازند، در حالی که برخی دیگر BI را اضافه می کنند تا از پایگاه کاربری موجود خود استفاده کنند، مانند مایکروسافت و اوراکل. با این حال، تنها Loop یک سرویس یکپارچه ایجاد کرده است که BI، تجزیه و تحلیل و مدیریت عملکرد تجاری را به هم مرتبط می کند. با Loop، کسبوکارها میتوانند فرآیندهای قابل اندازهگیری مبتنی بر KPI را توسعه دهند که اهداف استراتژیک را برآورده میکنند، در حالی که زمینه را برای بهبود عملکرد سازمان شما فراهم میکنند. نتیجه، توانایی شناسایی و اولویتبندی مشکلات و برقراری سریع راهحلها در سراسر کسبوکار یا حق امتیاز است، حتی آنهایی که سلسله مراتب پیچیدهای دارند که جمعآوری و تفسیر دادهها را دشوار میکند. صرف نظر از نیازهای کسب و کار شما، پیدا کردن و پیاده سازی نرم افزار مناسب اولین گام در توسعه استراتژی مناسب است. جهت دریافت مشاوره در این زمینه می توانید به متخصصین هوش تجاری شرکت پایش و مدیریت هوشمند هوشان مراجعه نمایید و یک تماس مقدماتی ترتیب دهید و ببینید که چگونه راه حل ترکیبی Loop می تواند رویکرد شما را به هوش تجاری تغییر دهد.